CodeIgniter Jobs in Oman
983 Jobs Found
Oman - Oman
<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<p>A link to GitHub is a plus.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Oman - Oman
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Oman - Oman
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Oman - Oman
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Oman - Oman
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Oman
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Oman
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Oman
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Oman
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Oman - Oman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Delivery Manager (CBU Tech) to lead the engineering health and delivery enablement for consumer-facing technology channels. This role operates at the intersection of engineering management and delivery governance, ensuring that tech teams are structurally empowered while freeing Tech Leads to focus on execution and feature delivery. The role requires strong ownership of engineering teams across mobile, web, commerce, and AI-driven platforms, with a focus on capacity planning, talent management, and delivery readiness. The ideal candidate will act as the backbone of engineering operations, enabling scalable and predictable delivery across channels.</p><p>Key Responsibilities</p><p>Engineering Health & Capability Management</p><ul><li>Own overall engineering health across consumer channels (Mobile, Web, Commerce, AI).</li><li>Drive capacity planning, utilization, and demand-supply alignment.</li><li>Manage attrition, hiring pipeline, onboarding, and workforce stability.</li><li>Ensure availability of the right skills and roles aligned to programme needs.</li></ul><p>Tech Leadership Enablement</p><ul><li>Conduct regular 1:1s with Tech Leads to ensure alignment, support, and issue resolution.</li><li>Enable Tech Leads to focus on delivery by removing operational and organizational bottlenecks.</li><li>Provide support in team structuring, role clarity, and ownership models.</li></ul><p>Delivery Support & Execution Enablement</p><ul><li>Ensure delivery teams are fully equipped and structured for execution readiness.</li><li>Work closely with Programme Leads / PMOs to align capacity with delivery plans.</li><li>Support resolution of cross-team dependencies and resourcing challenges.</li><li>Enable predictable delivery outcomes without directly owning day-to-day execution.</li></ul><p>Talent & Workforce Management</p><ul><li>Drive hiring, onboarding, and ramp-up plans in line with programme expansion.</li><li>Monitor team performance, engagement, and retention.</li><li>Support capability development and succession planning within engineering teams.</li></ul><p>Governance & Operational Discipline</p><ul><li>Establish visibility into engineering metrics (capacity, utilisation, attrition, skill gaps).</li><li>Drive structured reporting and governance for engineering health.</li><li>Ensure alignment with organizational processes, compliance, and quality standards.</li></ul><p>Key Result Areas (KRAs)</p><ul><li>Strong engineering health across consumer channels</li><li>Optimized capacity utilization and workforce stability</li><li>Reduced attrition and improved team continuity</li><li>High-performing Tech Leads focused on delivery</li><li>Improved delivery readiness and execution predictability</li><li>Effective hiring and ramp-up aligned with demand</li></ul><p>Required Skills & Experience</p><ul><li>Engineering team management & capability building (Expert)</li><li>Capacity planning & workforce management (Expert)</li><li>Stakeholder management & cross-team coordination (Expert)</li><li>Delivery enablement & governance (Expert)</li><li>Talent management (hiring, retention, onboarding) (Expert)</li><li>Agile delivery understanding & team structuring (Strong)</li><li>Dependency management & delivery alignment (Strong)</li><li>Data-driven decision making (capacity/utilisation metrics) (Strong)</li><li>Tools & systems (JIRA, workforce dashboards, tracking tools) (Strong)</li></ul><p>Preferred Qualifications</p><ul><li>Experience managing consumer-facing platforms (Mobile, Web, Commerce, AI)</li><li>Experience in onsite client engagement roles</li><li>Exposure to large-scale multi-pod delivery environments</li><li>Strong understanding of engineering operating models within enterprise programmes</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Engineering team management & capability building (Expert)</li><li>Capacity planning & workforce management (Expert)</li><li>Stakeholder management & cross-team coordination (Expert)</li><li>Delivery enablement & governance (Expert)</li><li>Talent management (hiring, retention, onboarding) (Expert)</li><li>Agile delivery understanding & team structuring (Strong)</li><li>Dependency management & delivery alignment (Strong)</li><li>Data-driven decision making (capacity/utilisation metrics) (Strong)</li><li>Tools & systems (JIRA, workforce dashboards, tracking tools) (Strong)</li><li>Experience managing consumer-facing platforms (Mobile, Web, Commerce, AI)</li><li>Experience in onsite client engagement roles</li><li>Exposure to large-scale multi-pod delivery environments</li><li>Strong understanding of engineering operating models within enterprise programmes</li></ul><p></p></section>
Confidential
Oman - Oman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Delivery Manager (CBU Tech) to lead the engineering health and delivery enablement for consumer-facing technology channels. This role operates at the intersection of engineering management and delivery governance, ensuring that tech teams are structurally empowered while freeing Tech Leads to focus on execution and feature delivery. The role requires strong ownership of engineering teams across mobile, web, commerce, and AI-driven platforms, with a focus on capacity planning, talent management, and delivery readiness. The ideal candidate will act as the backbone of engineering operations, enabling scalable and predictable delivery across channels.</p><p><b>Key Responsibilities</b></p><p>Engineering Health & Capability Management</p><ul><li>Own overall engineering health across consumer channels (Mobile, Web, Commerce, AI).</li><li>Drive capacity planning, utilization, and demand-supply alignment.</li><li>Manage attrition, hiring pipeline, onboarding, and workforce stability.</li><li>Ensure availability of the right skills and roles aligned to programme needs.</li></ul><p>Tech Leadership Enablement</p><ul><li>Conduct regular 1:1s with Tech Leads to ensure alignment, support, and issue resolution.</li><li>Enable Tech Leads to focus on delivery by removing operational and organizational bottlenecks.</li><li>Provide support in team structuring, role clarity, and ownership models.</li></ul><p>Delivery Support & Execution Enablement</p><ul><li>Ensure delivery teams are fully equipped and structured for execution readiness.</li><li>Work closely with Programme Leads / PMOs to align capacity with delivery plans.</li><li>Support resolution of cross-team dependencies and resourcing challenges.</li><li>Enable predictable delivery outcomes without directly owning day-to-day execution.</li></ul><p>Talent & Workforce Management</p><ul><li>Drive hiring, onboarding, and ramp-up plans in line with programme expansion.</li><li>Monitor team performance, engagement, and retention.</li><li>Support capability development and succession planning within engineering teams.</li></ul><p>Governance & Operational Discipline</p><ul><li>Establish visibility into engineering metrics (capacity, utilisation, attrition, skill gaps).</li><li>Drive structured reporting and governance for engineering health.</li><li>Ensure alignment with organizational processes, compliance, and quality standards.</li></ul><p>Key Result Areas (KRAs)</p><ul><li>Strong engineering health across consumer channels</li><li>Optimized capacity utilization and workforce stability</li><li>Reduced attrition and improved team continuity</li><li>High-performing Tech Leads focused on delivery</li><li>Improved delivery readiness and execution predictability</li><li>Effective hiring and ramp-up aligned with demand</li></ul><p>Required Skills & Experience</p><ul><li>Engineering team management & capability building (Expert)</li><li>Capacity planning & workforce management (Expert)</li><li>Stakeholder management & cross-team coordination (Expert)</li><li>Delivery enablement & governance (Expert)</li><li>Talent management (hiring, retention, onboarding) (Expert)</li><li>Agile delivery understanding & team structuring (Strong)</li><li>Dependency management & delivery alignment (Strong)</li><li>Data-driven decision making (capacity/utilisation metrics) (Strong)</li><li>Tools & systems (JIRA, workforce dashboards, tracking tools) (Strong)</li></ul><p>Preferred Qualifications</p><ul><li>Experience managing consumer-facing platforms (Mobile, Web, Commerce, AI)</li><li>Experience in onsite client engagement roles</li><li>Exposure to large-scale multi-pod delivery environments</li><li>Strong understanding of engineering operating models within enterprise programmes'</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Engineering team management & capability building (Expert)</li><li>Capacity planning & workforce management (Expert)</li><li>Stakeholder management & cross-team coordination (Expert)</li><li>Delivery enablement & governance (Expert)</li><li>Talent management (hiring, retention, onboarding) (Expert)</li><li>Agile delivery understanding & team structuring (Strong)</li><li>Dependency management & delivery alignment (Strong)</li><li>Data-driven decision making (capacity/utilisation metrics) (Strong)</li><li>Tools & systems (JIRA, workforce dashboards, tracking tools) (Strong)</li><li>Experience managing consumer-facing platforms (Mobile, Web, Commerce, AI)</li><li>Experience in onsite client engagement roles</li><li>Exposure to large-scale multi-pod delivery environments</li><li>Strong understanding of engineering operating models within enterprise programmes'</li></ul><p></p></section>
toto
Oman - muscat
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Overall Accountability: Overall 10 plus years of experience in Release Management which includes DevOps with expertise in with Configuration Management, Build, Release Management, Linux Administration, Continuous Integration, Configuration management, Automation, Monitoring, and Tooling. Broad practical knowledge of numerous CI/CD technologies.</p><p>Principal Accountabilities:</p><ul><li>Experienced in leading and managing Release Management activities including Deployment using DevOps, Deployment Automation, Configuration Management and Automation.</li><li>Multiple years of hands on experience in administration and configuration of argosCD, XL/digital.ai Deploy and XL/digital.ai Release Tool.</li><li>Multiple years of hands on experience in administration and automation of container based deployments in Kubernetes/OpenShift.</li><li>Experience in writing playbook / cookbooks/run books for application deployment.</li><li>Designed end to end automation of infrastructure and continuous delivery of the applications by integrating and automating with python/jython scripts, UNIX Shell scripting, Jenkins, Helm Chart, GitLAB and Sonartype Nexus.</li><li>Hands-on Experience of the J2EE Framework and its components as related to Java build, test, deployment and release management initiatives.</li><li>Good Knowledge and extensive working experience in handling GIT Repository.</li><li>Good Knowledge and extensive working experience in handling Sonartype Nexus Repository.</li><li>Good Knowledge and extensive working experience in Helm Charts and Repository.</li><li>Responsible for deploying best SCM processes and procedures in the organization.</li><li>Worked closely with software developers for controls, code integrity, and code conflict resolution.</li><li>Rich experience about Application Infrastructure (servers, load balancers, web application firewalls).</li><li>Ability to handle multiple and moderately sized assignments simultaneously.</li><li>Must have strong analytical, problem solving, communication, project management, and decision-making skills.</li><li>Excellent communication, interpersonal, intuitive, leadership skills with ability to work efficiently in both independent and team work environments.</li></ul><p>Technical Skills (Must Have)</p><ul><li>Environment: XL Deploy, XL Release, Jenkins, GIT, argosCD, Helm Charts, Sonartype Nexus</li><li>Operating Systems: Linux, Windows</li><li>Languages: Python, Jython, UNIX Scripting, Java.</li><li>Containers: Kubernetes, OpenShift</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Overall 10 plus years of experience in Release Management which includes DevOps with expertise in with Configuration Management, Build, Release Management, Linux Administration, Continuous Integration, Configuration management, Automation, Monitoring, and Tooling. Broad practical knowledge of numerous CI/CD technologies.</li><li>Experienced in leading and managing Release Management activities including Deployment using DevOps, Deployment Automation, Configuration Management and Automation.</li><li>Multiple years of hands on experience in administration and configuration of argosCD, XL/digital.ai Deploy and XL/digital.ai Release Tool.</li><li>Multiple years of hands on experience in administration and automation of container based deployments in Kubernetes/OpenShift.</li><li>Experience in writing playbook / cookbooks/run books for application deployment.</li><li>Designed end to end automation of infrastructure and continuous delivery of the applications by integrating and automating with python/jython scripts, UNIX Shell scripting, Jenkins, Helm Chart, GitLAB and Sonartype Nexus.</li><li>Hands-on Experience of the J2EE Framework and its components as related to Java build, test, deployment and release management initiatives.</li><li>Good Knowledge and extensive working experience in handling GIT Repository.</li><li>Good Knowledge and extensive working experience in handling Sonartype Nexus Repository.</li><li>Good Knowledge and extensive working experience in Helm Charts and Repository.</li><li>Responsible for deploying best SCM processes and procedures in the organization.</li><li>Worked closely with software developers for controls, code integrity, and code conflict resolution.</li><li>Rich experience about Application Infrastructure (servers, load balancers, web application firewalls).</li><li>Ability to handle multiple and moderately sized assignments simultaneously.</li><li>Must have strong analytical, problem solving, communication, project management, and decision-making skills.</li><li>Excellent communication, interpersonal, intuitive, leadership skills with ability to work efficiently in both independent and team work environments.</li><li>Technical Skills (Must Have) - o Environment: XL Deploy, XL Release, Jenkins, GIT, argosCD, Helm Charts, Sonartype Nexus o Operating Systems: Linux, Windows o Languages: Python, Jython, UNIX Scripting, Java. o Containers: Kubernetes, OpenShift</li></ul><p></p></section>
Confidential
Oman - muscat
<p><h4>Description</h4>
<p>We are offering a summer internship program in support & implementation for undergraduates and fresh graduates. This internship provides hands-on experience in IT support, system monitoring, and basic troubleshooting, with a focus on learning and development in a professional environment. Interns will assist in supporting systems, working with internal teams, and helping resolve basic technical issues.</p>
<p>Interns who demonstrate exceptional performance, technical proficiency, and dedication throughout the program will be considered for a full-time position.</p>
<h4>Responsibilities</h4>
<ul>
<li>Assist in providing basic technical support for internal systems and applications.</li>
<li>Help monitor systems and report issues to senior team members.</li>
<li>Support troubleshooting of simple software and system issues.</li>
<li>Document incidents and updates using internal tools.</li>
<li>Coordinate with the technical team when escalation is needed.</li>
<li>Learn and follow support processes and best practices.</li>
<li>Maintain confidentiality of company and client information.</li>
<li>Contribute to team tasks and ongoing projects.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Undergraduates and fresh graduates (up to 1 year of experience).</li>
<li>Bachelor’s degree in computer science, information systems, or any related field.</li>
<li>Basic understanding of IT concepts (operating systems, databases, networking).</li>
<li>Familiarity with:</li>
<ul>
<li>Windows or Linux operating systems.</li>
<li>Databases (SQL).</li>
<li>Application servers (e.g., Apache Tomcat).</li>
<li>Basic exposure to tools like Docker or simple server environments.</li>
</ul>
<li>Willingness to learn new technologies and tools.</li>
<li>Good communication skills (Arabic & English).</li>
<li>Team player with a positive attitude.</li>
<li>Ability to follow instructions and learn quickly.</li>
</ul></p><p></p>
Confidential
Oman - muscat
<p><h4>Description</h4>
<p>We are offering a summer internship program in support & implementation for undergraduates and fresh graduates. This internship provides hands-on experience in IT support, system monitoring, and basic troubleshooting, with a focus on learning and development in a professional environment. Interns will assist in supporting systems, working with internal teams, and helping resolve basic technical issues.</p>
<p>Interns who demonstrate exceptional performance, technical proficiency, and dedication throughout the program will be considered for a full-time position.</p>
<h4>Responsibilities</h4>
<ul>
<li>Assist in providing basic technical support for internal systems and applications.</li>
<li>Help monitor systems and report issues to senior team members.</li>
<li>Support troubleshooting of simple software and system issues.</li>
<li>Document incidents and updates using internal tools.</li>
<li>Coordinate with the technical team when escalation is needed.</li>
<li>Learn and follow support processes and best practices.</li>
<li>Maintain confidentiality of company and client information.</li>
<li>Contribute to team tasks and ongoing projects.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Undergraduates and fresh graduates (up to 1 year of experience).</li>
<li>Bachelor’s degree in computer science, information systems, or any related field.</li>
<li>Basic understanding of IT concepts (operating systems, databases, networking).</li>
<li>Familiarity with:</li>
<ul>
<li>Windows or Linux operating systems.</li>
<li>Databases (SQL).</li>
<li>Application servers (e.g., Apache Tomcat).</li>
<li>Basic exposure to tools like Docker or simple server environments.</li>
</ul>
<li>Willingness to learn new technologies and tools.</li>
<li>Good communication skills (Arabic & English).</li>
<li>Team player with a positive attitude.</li>
<li>Ability to follow instructions and learn quickly.</li>
</ul></p><p></p>
toto
Oman
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Alternant(e) chef de projet transformation digitale sûreté. F/H</p><br><br><p>Alternance</p><br><br><p>1 an pouvant être étendu à 2 ans</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Au sein du pôle Protection de la Direction Sûreté France, vous intervenez en tant qu'alternant(e) chef de projet transformation digitale sûreté et acquérez une expérience en matière de sûreté. Dans ce cadre, vous contribuez aux activités suivantes :<br>1. Appropriation et analyse de l'écosystème des outils sûreté<br>• Prendre connaissance des outils numériques de sûreté existants et de leurs usages opérationnels <br>• Identifier les parties prenantes (métiers, IT, prestataires) et les modalités de gouvernance associées <br>• Recenser les indicateurs de performance (KPI), la documentation et les प्रक्रdures en vigueur <br>• Analyser les écarts entre les pratiques existantes et les standards de gouvernance définis <br>• Proposer des axes d'amélioration en matière de structuration, d'usage et de pilotage <br>2. Contribution au pilotage de projets digitaux sûreté<br>• Participer aux activités de gestion de projet, en lien avec les équipes métiers et la DSI : <br>• recueil et formalisation des besoins <br>• contribution à la rédaction des cahiers des charges <br>• suivi des projets (planning, livrables, risques) <br>• Intervenir en appui sur les dimensions : <br>• Maîtrise d'ouvrage (MOA) : <br>• participation à la gouvernance des applications (évolutions, qualité de service, documentation, indicateurs, budget) <br>• contribution à l'amélioration des usages et à l'adéquation aux besoins métiers <br>• Maîtrise d'œuvre (MOE) (selon profil/appétence) : <br>• participation à l'administration fonctionnelle des outils <br>• contribution ponctuelle à des développements ou paramétrages (PHP, SQL, HTML/CSS, Power BI appréciés) <br>3. Data, reporting et pilotage de la performance<br>• Contrôler la qualité et la cohérence des données issues des outils sûreté <br>• Produire et faire évoluer les reportings opérationnels <br>• Concevoir des tableaux de bord de suivi (KPI, indicateurs de performance) <br>• Contribuer à la valorisation de la donnée au service de la prise de décision <br>4. Documentation, processus et amélioration continue<br>• Rédiger et maintenir la documentation fonctionnelle et technique <br>• Formaliser et améliorer les प्रक्रdures existantes (notamment via des outils digitaux) <br>• Participer à la structuration des pratiques de gouvernance applicative <br>• Contribuer à une démarche d'amélioration continue des outils et processus sûreté <br>5. Conduite du changement et accompagnement des utilisateurs<br>• Assurer un support de premier niveau aux utilisateurs <br>• Concevoir et animer des actions de sensibilisation à l'usage des outils <br>• Créer et améliorer les supports utilisateurs (guides, tutoriels, présentations) <br>• Participer à l'évaluation de l'efficacité des outils, notamment lors d'exercices de protection <br>6. Veille et contribution à la dynamique de l'équipe<br>• Réaliser une veille sur les solutions et pratiques innovantes en matière de sûreté digitale <br>• Proposer des pistes d'évolution ou d'expérimentation <br>• Contribuer activement à la vie et au rayonnement de l'équipe sûreté</p><br><br><p>Vous disposez :<br>- d'un sens de la communication,<br>- d(une capacité d'analyse, de synthèse et de vulgarisation<br>- d'un esprit d'équipe,<br>Votre activité demandera également:<br>- discrétion et confidentialité,<br>- exemplarité et intégrité</p><br><br><p>Vous suivez un cursus de master de type MIAGE (Méthodes Informatiques Appliquées à la Gestion), un master MSI ou un master Transfo Digitale.</p><br><br><br> </div>
Oman
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Job Description<br><p>Must have Skills : Customer orientation (Strong), Project Management methodologies (Strong), Account Management and Business Development (Expert), Stakeholder Management, Communication & collaboration (Expert)</p><br><p>Experience: 1215 Years Role Summary We are seeking an experienced Delivery Manager (CBU Tech) to lead the engineering health and delivery enablement for consumer-facing technology channels. This role operates at the intersection of engineering management and delivery governance, ensuring that tech teams are structurally empowered while freeing Tech Leads to focus on execution and feature delivery. The role requires strong ownership of engineering teams across mobile, web, commerce, and AI-driven platforms, with a focus on capacity planning, talent management, and delivery readiness. The ideal candidate will act as the backbone of engineering operations, enabling scalable and predictable delivery across channels.</p><br><p>Key Responsibilities</p><br><p>Engineering Health & Capability Management - Own overall engineering health across consumer channels (Mobile, Web, Commerce, AI). - Drive capacity planning, utilization, and demand-supply alignment. - Manage attrition, hiring pipeline, onboarding, and workforce stability. - Ensure availability of the right skills and roles aligned to programme needs. Tech Leadership Enablement - Conduct regular 1:1s with Tech Leads to ensure alignment, support, and issue resolution. - Enable Tech Leads to focus on delivery by removing operational and organizational bottlenecks. - Provide support in team structuring, role clarity, and ownership models. Delivery Support & Execution Enablement - Ensure delivery teams are fully equipped and structured for execution readiness. - Work closely with Programme Leads / PMOs to align capacity with delivery plans. - Support resolution of cross-team dependencies and resourcing challenges. - Enable predictable delivery outcomes without directly owning day-to-day execution. Talent & Workforce Management - Drive hiring, onboarding, and ramp-up plans in line with programme expansion. - Monitor team performance, engagement, and retention. - Support capability development and succession planning within engineering teams. Governance & Operational Discipline - Establish visibility into engineering metrics (capacity, utilisation, attrition, skill gaps). - Drive structured reporting and governance for engineering health. - Ensure alignment with organizational processes, compliance, and quality standards.</p><br><p>Key Result Areas (KRAs)</p><br><p>Strong engineering health across consumer channels - Optimized capacity utilization and workforce stability - Reduced attrition and improved team continuity - High-performing Tech Leads focused on delivery - Improved delivery readiness and execution predictability - Effective hiring and ramp-up aligned with demand Required Skills & Experience - Engineering team management & capability building (Expert) - Capacity planning & workforce management (Expert) - Stakeholder management & cross-team coordination (Expert) - Delivery enablement & governance (Expert) - Talent management (hiring, retention, onboarding) (Expert) - Agile delivery understanding & team structuring (Strong) - Dependency management & delivery alignment (Strong) - Data-driven decision making (capacity/utilisation metrics) (Strong) - Tools & systems (JIRA, workforce dashboards, tracking tools) (Strong) Preferred Qualifications - Experience managing consumer-facing platforms (Mobile, Web, Commerce, AI) - Experience in onsite client engagement roles - Exposure to large-scale multi-pod delivery environments - Strong understanding of engineering operating models within enterprise programmes</p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
<div class="row is-m v-align-top t-small bg-mute">
<div class="col is-3 p5" data-automation-id="label_Nationality">
<b>Nationality</b>
</div>
<div class="col is-9 p5" data-automation-id="data_Nationality">
Oman </div>
</div>
Oman
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Job Description<br><p>Must have Skills : Customer orientation (Strong), Project Management methodologies (Strong), Account Management and Business Development (Expert), Stakeholder Management, Communication & collaboration (Expert)</p><br><p>Experience: 1215 Years Role Summary We are seeking an experienced Delivery Manager (CBU Tech) to lead the engineering health and delivery enablement for consumer-facing technology channels. This role operates at the intersection of engineering management and delivery governance, ensuring that tech teams are structurally empowered while freeing Tech Leads to focus on execution and feature delivery. The role requires strong ownership of engineering teams across mobile, web, commerce, and AI-driven platforms, with a focus on capacity planning, talent management, and delivery readiness. The ideal candidate will act as the backbone of engineering operations, enabling scalable and predictable delivery across channels.</p><br><p>Key Responsibilities</p><br><p>Engineering Health & Capability Management - Own overall engineering health across consumer channels (Mobile, Web, Commerce, AI). - Drive capacity planning, utilization, and demand-supply alignment. - Manage attrition, hiring pipeline, onboarding, and workforce stability. - Ensure availability of the right skills and roles aligned to programme needs. Tech Leadership Enablement - Conduct regular 1:1s with Tech Leads to ensure alignment, support, and issue resolution. - Enable Tech Leads to focus on delivery by removing operational and organizational bottlenecks. - Provide support in team structuring, role clarity, and ownership models. Delivery Support & Execution Enablement - Ensure delivery teams are fully equipped and structured for execution readiness. - Work closely with Programme Leads / PMOs to align capacity with delivery plans. - Support resolution of cross-team dependencies and resourcing challenges. - Enable predictable delivery outcomes without directly owning day-to-day execution. Talent & Workforce Management - Drive hiring, onboarding, and ramp-up plans in line with programme expansion. - Monitor team performance, engagement, and retention. - Support capability development and succession planning within engineering teams. Governance & Operational Discipline - Establish visibility into engineering metrics (capacity, utilisation, attrition, skill gaps). - Drive structured reporting and governance for engineering health. - Ensure alignment with organizational processes, compliance, and quality standards.</p><br><p>Key Result Areas (KRAs)</p><br><p>Strong engineering health across consumer channels - Optimized capacity utilization and workforce stability - Reduced attrition and improved team continuity - High-performing Tech Leads focused on delivery - Improved delivery readiness and execution predictability - Effective hiring and ramp-up aligned with demand Required Skills & Experience - Engineering team management & capability building (Expert) - Capacity planning & workforce management (Expert) - Stakeholder management & cross-team coordination (Expert) - Delivery enablement & governance (Expert) - Talent management (hiring, retention, onboarding) (Expert) - Agile delivery understanding & team structuring (Strong) - Dependency management & delivery alignment (Strong) - Data-driven decision making (capacity/utilisation metrics) (Strong) - Tools & systems (JIRA, workforce dashboards, tracking tools) (Strong) Preferred Qualifications - Experience managing consumer-facing platforms (Mobile, Web, Commerce, AI) - Experience in onsite client engagement roles - Exposure to large-scale multi-pod delivery environments - Strong understanding of engineering operating models within enterprise programmes</p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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Oman </div>
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Oman - Oman
<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>
Oman - Oman
<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>
Oman - muscat
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a seasoned Enterprise & Solution Architect with strong cross-domain expertise and deep technology capabilities to drive large-scale digital transformation initiatives. The role requires a strategic thinker with hands-on architecture experience across industries such as Telecom, Energy, Public Sector, and BFSI, combined with strong proficiency in modern technology stacks including cloud, web, and advanced Data & AI.</p><p>Key Responsibilities - Define and drive enterprise architecture strategy aligned with business goals across multiple industry domains (Telco, Energy, Public Sector, BFSI). - Lead end-to-end solution architecture for large, complex transformation programs, ensuring scalability, security, and performance. - Design and govern data-driven architectures, including data platforms, analytics ecosystems, and AI/ML solutions. - Architect and implement solutions leveraging Cloud (OCI/AWS/Azure/GCP), Microservices, APIs, and Modern Web Technologies. - Drive adoption of AI capabilities, including Machine Learning, Generative AI, and emerging Agentic AI frameworks for enterprise use cases. - Establish architecture governance, standards, and best practices across programs and portfolios. - Collaborate with business stakeholders to translate requirements into scalable and future-ready architecture blueprints. - Provide technical leadership across delivery teams, ensuring alignment with architecture vision and quality benchmarks. - Evaluate and recommend technology platforms, tools, and vendors aligned with enterprise strategy. - Lead solutioning for RFPs, proposals, and client engagements, including effort estimation and technical strategy.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Must have Skills :</strong> Architecture (Strong), Cloud architecture (Strong), Technology Architect - Data Architecture (Strong), Technology Architect - Generative AI, Experience: 12+ Years</li><li><strong>Key Skills & Competencies</strong></li><li><strong>Domain Expertise</strong> - Strong understanding of at least two or more domains: o Telecom (BSS/OSS, Digital Channels) o Energy & Utilities o Public Sector (eGov, Smart City) o BFSI (Banking, Payments, Insurance)</li><li><strong>Technology Expertise</strong> - Cloud Platforms: AWS, Azure, or GCP (multi-cloud exposure preferred) - Architecture Patterns: Microservices, Event-driven, API-first, Domain-driven design - Web Technologies: Modern front-end and backend frameworks - Integration: APIs, Middleware, ESB, iPaaS</li><li><strong>Data & AI (Core Focus)</strong> - Strong expertise in Data Architecture (Data Lakes, Data Warehouses, Lakehouse) - Hands-on experience with Machine Learning models and lifecycle management (MLOps) - Experience in Generative AI (LLMs, prompt engineering, RAG architectures) - Exposure to Agentic AI systems (autonomous agents, orchestration frameworks) - Knowledge of data governance, security, and privacy frameworks</li><li><strong>Qualifications</strong> - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Architecture certifications (TOGAF, Cloud Architect certifications) preferred</li><li><strong>Leadership & Behavioral Skills</strong> - Strong stakeholder management and executive communication skills - Ability to operate at both strategic and hands-on levels - Proven experience in leading distributed and cross-functional teams - Strong problem-solving and decision-making capabilities</li></ul><p></p></section>