Deep Learning Jobs in Oman

<p><h4>Job identification</h4> <p>33907</p> <h4>Job category</h4> <p>Enabling & support</p> <h4>Posting date</h4> <p>04/29/2026 11:26 AM</p> <h4>Locations</h4> <p>Al Ghobra Muscat OM</p> <h4>Apply before</h4> <p>05/31/2026 11:26 AM</p> <h4>Job schedule</h4> <p>Full time</p></p><p></p>

<p><h4>Job identification</h4> <p>33907</p> <h4>Job category</h4> <p>Enabling & support</p> <h4>Posting date</h4> <p>04/29/2026 11:26 AM</p> <h4>Locations</h4> <p>Al Ghobra Muscat OM</p> <h4>Apply before</h4> <p>05/31/2026 11:26 AM</p> <h4>Job schedule</h4> <p>Full time</p></p><p></p>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The opportunity A new financial markets infrastructure venture is being established in Oman, backed by prominent institutional investors and operating under an international common law framework.<br> The platform is a greenfield central securities depository being built to go-live in 2027.<br> We are hiring a Head of Product Technology to own the technology platform end-to-end: the application and the infrastructure on which it runs.<br> This is not background plumbing.<br> The application is the product.<br> The infrastructure is the foundation on which settlement finality, system resilience, latency performance, and operational availability are delivered.<br> The post-holder must understand both layers as one integrated whole and own them as one.<br> In Build, the post-holder is the architect of the platform from a blank sheet: technology reference architecture, infrastructure topology, hosting strategy, network and database design, integration patterns, security architecture, and resilience and disaster-recovery architecture.<br> In Run, the same person operates the platform and the team they have designed.<br> This is not a sit-in-your-office role.<br> What the role covers Designing the technology reference architecture from a blank sheet: application architecture, infrastructure topology, database platform, network design, integration patterns, security architecture, and resilience and DR architecture Owning the application end-to-end: design, configuration, integration, data model, change management, and support Owning the infrastructure that hosts the platform: compute, storage, network, virtualisation, database, and middleware, whether on-premise, hosted, or cloud Owning platform resilience: high availability design, backup and recovery architecture, disaster recovery, business continuity, and tested failover Owning end-to-end platform performance including transaction latency, capacity planning, and headroom strategy Owning first-line platform security: secure configuration, hardening, identity and access management, vulnerability management, patching, and security incident response Owning the technical relationship with the build vendor; holding them to account on functional, technical, and operational delivery Designing the human operating model for the platform: team shape, shift patterns, on-call rotations, incident command structure, runbooks, and third-party support arrangements Owning all integrations between the platform and external systems: custodians, settlement banks, exchange, SWIFT, Bloomberg, and ISIN infrastructure Line managing the Application Managers, Database Administrator, and the wider platform engineering team as it builds Who we are looking for At least 12 years in financial-services platform technology, with substantial time spent owning a mission-critical platform end-to-end across both application and infrastructure layers.<br> Direct, demonstrable experience architecting a mission-critical regulated financial platform from a blank sheet: this is non-negotiable.<br> Direct, demonstrable experience as the technical authority on a CSD, custody platform, post-trade platform, capital markets platform, or core banking system of comparable mission-criticality: also non-negotiable.<br> Hands-on technical credibility across both application and infrastructure layers: able to read code, query a database, design a network topology, debug an integration, and challenge a vendor's technical decisions with authority.<br> Demonstrated experience holding a major build vendor or system integrator to account on technical delivery.<br> Deep understanding of how a regulated financial-services business works, not just the technology underneath it.<br> Fluent in English.<br> Experience in financial market infrastructure (CSD, CCP, exchange, or payment system) is an advantage.<br> So is familiarity with CPMI-IOSCO principles and experience designing SWIFT, Bloomberg, and ICSD integrations.<br> What this is The platform does not exist yet.<br> The architecture has not been designed, the infrastructure has not been built, and the operating model has not been written.<br> The person who takes this role will have done all of it.<br> If you have genuinely architected and owned a mission-critical regulated financial platform from a blank sheet, and you have the hands-on credibility and delivery drive to do it again, this is worth a conversation.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job title: Expert Wells &amp; Production Technology</b></p> <p>Stream: Commercial</p> <p>Function: Investment Valuations &amp; Strategy</p> <p>Location: Oman Muscat</p> <p>Budget control: *OPEX and/or CAPEX and/or Revenue amount as relevant*</p> <p>Reporting to: Manager, Production Engineering</p> <p> </p> <p><b>Job purpose :</b></p> <p>Provide subject matter expertise in Wells and Production Technology to support investment valuations, technical due diligence, and strategic decision-making within the Commercial function. The role delivers authoritative technical input on well performance, production optimization, and production technology assessments, integrating these into commercial evaluations, opportunity screening, and portfolio analysis.</p> <p> </p> <p>The position will act in accordance with the OQEP s Mission, Vision, Values &amp; Strategies, as well as, policies, guidelines, and international standards, supported by an IT Technology platform, QHSE &amp; Energy Management System requirements standards, Omani s government &amp; other legal justifications, and best international practices in consonance with national objectives.</p> <p> </p> <p><b>Main tasks and responsibilities </b></p> <p> Provide expert technical input on wells and production technology to support investment valuations, asset acquisitions, divestments, and farm-in/farm-out evaluations within the Commercial function. </p> <p> Lead technical assessments of well performance, artificial lift systems, production enhancement opportunities, and production technology solutions in support of commercial transactions and portfolio reviews. </p> <p> Conduct and quality-assure well and production data analyses, including production decline analysis, well surveillance reviews, and production system optimisation studies to underpin economic evaluations. </p> <p> Provide independent technical review and challenge of wells and production assumptions used in investment cases, business development notes, and project initiation notes. </p> <p> Support due diligence processes for upstream opportunities, including data room visits and technical assessment of well stock, production infrastructure, and technology maturity of third-party assets. </p> <p> Collaborate with the Economics &amp; Planning function to integrate wells and production uncertainty ranges into economic models, sensitivity analyses, and risk-weighted valuations. </p> <p> Assess the technical and commercial viability of production technology applications including EOR/IOR schemes, well intervention programs, and production optimisation initiatives. </p> <p> Develop and maintain wells and production technology standards, tools, and workflows relevant to the Commercial function's investment evaluation process. </p> <p> Provide technical guidance and mentoring to less experienced engineers within the team. </p> <p> Represent OQEP in technical forums, joint venture meetings, and partner discussions on wells and production technology matters as required. </p> <p> Liaise with operated and non-operated asset teams to gather wells and production data and validate technical assumptions used in commercial evaluations. </p> <p> Contribute to the preparation of investment proposals, executive summaries, and board-level presentations related to upstream opportunities. </p> <p> Ensure all technical evaluations and reports are documented in accordance with company Data Management Standards. </p> <p> Support the continuous improvement of valuation methodologies and best practices within the Investment Valuations &amp; Strategy function. </p> <p> Actively participate in and promote OQEP's HSE culture, ensuring all work is carried out in accordance with HSE policies, procedures, and targets. </p> <p> Perform other related duties as assigned.</p> <p> </p> <p>Key interactions:</p> <p>Internal: Exploration function, Business Development function, Economics &amp; Planning function, Finance function, Legal function, Operated Assets teams, Non-Operated Assets / Joint Ventures function.</p> <p>External: Joint Venture partners, external consultants and technical advisors, government ministries, regulatory bodies.</p> <p> </p> <p>Notable Working Conditions. Office environment, intensive computer screen use, sporadic visits to operation sites and data rooms.</p> <p> </p> <p><b>Education requirements:</b></p> <p> Bachelor's degree in Petroleum Engineering or related engineering discipline Required</p> <p> Postgraduate qualification (MSc or PhD in Petroleum/Reservoir Engineering) or professional certification (SPE membership, Certified Petroleum Engineer) Preferred</p> <p> </p> <p>Language requirements : Excellent knowledge of written, read, and spoken English (required) | Arabic - Native (desirable)</p> <p> </p> <p>Background and experience:</p> <p> Minimum 8+ years of wells and production technology experience with an upstream oil &amp; gas operator or service company. Preferred experience with investment opportunities evaluation, VDRs, Commercial and Business Development Interface. Local and international exposure with various environments and hydrocarbon fields settings.</p> <p> Proven experience in well performance analysis, production optimisation, and artificial lift system design and evaluation. </p> <p> Strong background in production data analysis, well surveillance, and well intervention planning. </p> <p> Experience in technical evaluations for commercial transactions (acquisitions, divestments, farm-ins, JVs) with a focus on well stock and production system assessment. </p> <p> Familiarity with Oman's upstream regulatory environment and concession/EPSA framework is an advantage. </p> <p> Experience working in multidisciplinary teams alongside reservoir engineers, geoscientists, economists, and commercial professionals. </p> <p> Track record of delivering technical evaluations under tight commercial deadlines. </p> <p> </p> <p>Competencies and skills:</p> <p>Soft:</p> <p> Subject matter expertise with strong technical credibility and ability to influence senior stakeholders.</p> <p> Strong analytical and problem-solving skills with ability to synthesize complex subsurface data into clear commercial insights.</p> <p> Excellent communication and presentation skills ability to convey technical findings to non-technical audiences.</p> <p> Collaborative team player with ability to work effectively across functions and disciplines.</p> <p> Result-oriented, self-motivated, and able to manage multiple workstreams simultaneously.</p> <p> Attention to detail and commitment to quality in all technical outputs.</p> <p><br></p> <p> </p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity </b></p><br><p>We are looking for an ML powerhouse to join us in beautiful Muscat! If you’re a Senior ML Engineer who loves getting under the hood of high-performance computing (HPC) and hardware acceleration to solve massive business challenges, we want to chat. ?</p><br><p>This isn't just about building models; it’s about leading the charge on design, optimization, and deployment at scale. You’ll be our go-to expert for turning complex problems into sleek, AI-driven reality.</p><br><p>​</p><br><p><b>Discover the Role</b></p><br><ul><li><p><b>Building the Engine: </b>Architecting production-ready ML pipelines from scratch—from training all the way to deployment.</p><br></li><li><p><b>Pushing Limits: </b>Optimizing workloads using CUDA, cuDNN, and Nvidia TensorRT to make sure everything runs lightning-fast.</p><br></li><li><p><b>The Heavy Lifting: </b>Doing the deep-dive data analysis and feature engineering needed for top-tier datasets.</p><br></li><li><p><b>Leading the Pack: </b>Mentoring junior engineers, heading up code reviews, and making sure we’re always following best practices.</p><br></li><li><p><b>Collaborating: </b>Working closely with stakeholders to turn business needs into technical wins.</p><br></li><li><p><b>Staying Sharp: </b>Keeping us on the cutting edge by staying obsessed with the latest AI/ML advancements.</p><br></li></ul><p>​</p><br><p><b>Discover the Required</b></p><br><ul><li><p>5+ years of hands-on experience developing and deploying ML models.</p><br></li><li><p>A pro with Python, TensorFlow, and PyTorch.</p><br></li><li><p>Experience with tools like MLflow or Kubeflow.</p><br></li><li><p>Advanced skills in Docker, REST APIs, and Git.</p><br></li><li><p>Someone who knows their way around Nvidia Nsight, PyTorch Profiler, or Tensorboard for optimization.</p><br></li><li><p>Experience deploying AI solutions on AWS, GCP, or Azure.</p><br></li><li><p>Strong leadership vibes and the ability to explain "techy" things to non-techy people.</p><br></li><li><p>A Bachelor’s or Master’s in Computer Science, Data Science, or a related field.</p><br></li></ul><p>​</p><br><p><b>​Relocation support will be provided.</b></p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Responsibilities:</b></p> <p><strong>Lead and mentor a team of highly talented junior ML engineers through:</strong></p> <ul> <li>Code reviews, design reviews, and technical direction</li> <li>Enforcement of strong software engineering and ML best practices</li> </ul> <p><strong>Design, deploy, and operate scalable AI systems with a focus on reliability and performance</strong></p> <p><strong>Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)</strong></p> <p><strong>Own model performance end-to-end, combining evaluation, observability, and hardware optimization:</strong></p> <ul> <li>Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)</li> <li>Implement deep observability (tracing, latency, error tracking)</li> <li>Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)</li> <li>Continuously improve throughput, latency, and cost efficiency</li> </ul> <p><strong>Architect and manage GPU infrastructure:</strong></p> <ul> <li>Model serving, load balancing, and scaling strategies</li> <li>Hardware-aware deployment and performance tuning</li> </ul> <p><strong>Build and maintain robust MLOps pipelines:</strong></p> <ul> <li>Model/version management, CI/CD, automated testing, and rollback strategies</li> <li>Monitoring and feedback loops for continuous improvement</li> </ul> <p><strong>Engage directly with clients and stakeholders to:</strong></p> <ul> <li>Gather and clarify business requirements</li> <li>Translate non-technical needs into well-defined technical problems</li> <li>Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals</li> </ul> <p>Contribute hands-on to system design, implementation, debugging, and production incident resolution</p></div></section>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>We are hiring</b></p><p><br></p><p>Head of Learning Support Department – ​​Special Educational Needs (SEN Learning Support Leader)</p><p><br></p><p>Muscat, Sultanate of Oman</p><p><br></p><p>Our Planet International School is looking for an experienced and dedicated Head of Learning Support to join its academic leadership team.</p><p><br></p><p>The successful candidate will be responsible for leading and overseeing learning support services provided to students with special educational needs, and ensuring the application of inclusive practices and effective interventions to support student success.</p><p><br></p><p>M<b>ain tasks and responsibilities:</b></p><p><br></p><p>• Leading and supervising the Learning Support / Special Educational Needs (SEN) department</p><p><br></p><p>• Developing and implementing comprehensive learning support strategies and appropriate intervention plans</p><p><br></p><p>• Supporting and guiding teachers in adapting teaching methods and classroom facilities as needed</p><p><br></p><p>• Monitoring student progress and ensuring appropriate and effective support plans are in place</p><p><br></p><p>• Working closely with students, parents, teachers, and external specialists to support students' needs</p><p><br></p><p>• Ensure proper documentation, reporting, and adherence to school policies and procedures.</p><p><br></p><p>• Providing training and professional guidance to employees regarding inclusive education practices</p><p><br></p><p>• Participation in school leadership meetings, planning, and professional development programs</p><p><br></p><p><b>Requirements</b>:</p><p><br></p><p>• Bachelor's degree in Education – Learning Disabilities/Special Education or a related field</p><p><br></p><p>• Minimum of 4 years of experience in the field of Learning Support/Special Educational Needs (SEN), including leadership responsibilities</p><p><br></p><p>• Previous experience in International Baccalaureate (IB) programs is an added advantage</p><p><br></p><p>• Non-native English speakers are required to have an IELTS score of at least 6&nbsp;</p><p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Role We are looking for a hands-on Senior ML Engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice.<br> This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.<br> Responsibilities: * Lead and mentor a team of highly talented junior ML engineers through: * Code reviews, design reviews, and technical direction * Enforcement of strong software engineering and ML best practices * Design, deploy, and operate scalable AI systems with a focus on reliability and performance * Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice) * Own **model performance end-to-end**, combining evaluation, observability, and hardware optimization: * Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge) * Implement deep observability (tracing, latency, error tracking) * Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning) * Continuously improve throughput, latency, and cost efficiency * Architect and manage GPU infrastructure: * Model serving, load balancing, and scaling strategies * Hardware-aware deployment and performance tuning * Build and maintain robust MLOps pipelines: * Model/version management, CI/CD, automated testing, and rollback strategies * Monitoring and feedback loops for continuous improvement * Engage directly with clients and stakeholders to: * Gather and clarify business requirements * Translate non-technical needs into well-defined technical problems * Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals * Contribute hands-on to system design, implementation, debugging, and production incident resolution * Proven experience deploying LLMs in production * Strong experience with GPU-based inference and optimization * Solid backend engineering skills (Python, APIs, distributed systems) * Experience with MLOps and production ML systems * Experience with OCR/document AI and/or voice systems (STT/TTS) * Experience with Docker and Kubernetes * Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows) * Experience mentoring or leading engineers * Strong communication skills with the ability to bridge business and technical domains Nice to Have: * Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma) * Experience with on-prem / sovereign AI deployments * Experience with LoRA / fine-tuning * Multilingual or Arabic NLP experience</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history 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 Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<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>

<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>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities: Manage Azure cloud infrastructure. Ensure data security compliance. Collaborate with cross-functional teams on projects. Provide technical support for systems &amp; applications.</p></div></section>

<p><h4>Description</h4> <p>The opportunity</p> <p>A new financial markets infrastructure venture is being established in Oman, backed by prominent institutional investors and operating under an international common law framework. The platform is a greenfield central securities depository being built to go-live in 2027.</p> <p>We are hiring a Head of Product Technology to own the technology platform end-to-end: the application and the infrastructure on which it runs. This is not background plumbing. The application is the product. The infrastructure is the foundation on which settlement finality, system resilience, latency performance, and operational availability are delivered. The post-holder must understand both layers as one integrated whole and own them as one.</p> <p>In build, the post-holder is the architect of the platform from a blank sheet: technology reference architecture, infrastructure topology, hosting strategy, network and database design, integration patterns, security architecture, and resilience and disaster-recovery architecture. In run, the same person operates the platform and the team they have designed. This is not a sit-in-your-office role.</p> <h4>What the role covers</h4> <ul> <li>Designing the technology reference architecture from a blank sheet: application architecture, infrastructure topology, database platform, network design, integration patterns, security architecture, and resilience and DR architecture</li> <li>Owning the application end-to-end: design, configuration, integration, data model, change management, and support</li> <li>Owning the infrastructure that hosts the platform: compute, storage, network, virtualisation, database, and middleware, whether on-premise, hosted, or cloud</li> <li>Owning platform resilience: high availability design, backup and recovery architecture, disaster recovery, business continuity, and tested failover</li> <li>Owning end-to-end platform performance including transaction latency, capacity planning, and headroom strategy</li> <li>Owning first-line platform security: secure configuration, hardening, identity and access management, vulnerability management, patching, and security incident response</li> <li>Owning the technical relationship with the build vendor; holding them to account on functional, technical, and operational delivery</li> <li>Designing the human operating model for the platform: team shape, shift patterns, on-call rotations, incident command structure, runbooks, and third-party support arrangements</li> <li>Owning all integrations between the platform and external systems: custodians, settlement banks, exchange, SWIFT, Bloomberg, and ISIN infrastructure</li> <li>Line managing the Application Managers, Database Administrator, and the wider platform engineering team as it builds</li> </ul> <h4>Requirements</h4> <h4>Who we are looking for</h4> <p>At least 12 years in financial-services platform technology, with substantial time spent owning a mission-critical platform end-to-end across both application and infrastructure layers. Direct, demonstrable experience architecting a mission-critical regulated financial platform from a blank sheet: this is non-negotiable. Direct, demonstrable experience as the technical authority on a CSD, custody platform, post-trade platform, capital markets platform, or core banking system of comparable mission-criticality: also non-negotiable.</p> <p>Hands-on technical credibility across both application and infrastructure layers: able to read code, query a database, design a network topology, debug an integration, and challenge a vendor's technical decisions with authority. Demonstrated experience holding a major build vendor or system integrator to account on technical delivery. Deep understanding of how a regulated financial-services business works, not just the technology underneath it. Fluent in English.</p> <p>Experience in financial market infrastructure (CSD, CCP, exchange, or payment system) is an advantage. So is familiarity with CPMI-IOSCO principles and experience designing SWIFT, Bloomberg, and ICSD integrations.</p> <h4>What this is</h4> <p>The platform does not exist yet. The architecture has not been designed, the infrastructure has not been built, and the operating model has not been written. The person who takes this role will have done all of it. If you have genuinely architected and owned a mission-critical regulated financial platform from a blank sheet, and you have the hands-on credibility and delivery drive to do it again, this is worth a conversation.</p></p><p></p>

<p><h4>Description</h4> <p>The opportunity</p> <p>A new financial markets infrastructure venture is being established in Oman, backed by prominent institutional investors and operating under an international common law framework. The platform is a greenfield central securities depository being built to go-live in 2027.</p> <p>We are hiring a Head of Product Technology to own the technology platform end-to-end: the application and the infrastructure on which it runs. This is not background plumbing. The application is the product. The infrastructure is the foundation on which settlement finality, system resilience, latency performance, and operational availability are delivered. The post-holder must understand both layers as one integrated whole and own them as one.</p> <p>In build, the post-holder is the architect of the platform from a blank sheet: technology reference architecture, infrastructure topology, hosting strategy, network and database design, integration patterns, security architecture, and resilience and disaster-recovery architecture. In run, the same person operates the platform and the team they have designed. This is not a sit-in-your-office role.</p> <h4>What the role covers</h4> <ul> <li>Designing the technology reference architecture from a blank sheet: application architecture, infrastructure topology, database platform, network design, integration patterns, security architecture, and resilience and DR architecture</li> <li>Owning the application end-to-end: design, configuration, integration, data model, change management, and support</li> <li>Owning the infrastructure that hosts the platform: compute, storage, network, virtualisation, database, and middleware, whether on-premise, hosted, or cloud</li> <li>Owning platform resilience: high availability design, backup and recovery architecture, disaster recovery, business continuity, and tested failover</li> <li>Owning end-to-end platform performance including transaction latency, capacity planning, and headroom strategy</li> <li>Owning first-line platform security: secure configuration, hardening, identity and access management, vulnerability management, patching, and security incident response</li> <li>Owning the technical relationship with the build vendor; holding them to account on functional, technical, and operational delivery</li> <li>Designing the human operating model for the platform: team shape, shift patterns, on-call rotations, incident command structure, runbooks, and third-party support arrangements</li> <li>Owning all integrations between the platform and external systems: custodians, settlement banks, exchange, SWIFT, Bloomberg, and ISIN infrastructure</li> <li>Line managing the Application Managers, Database Administrator, and the wider platform engineering team as it builds</li> </ul> <h4>Requirements</h4> <h4>Who we are looking for</h4> <p>At least 12 years in financial-services platform technology, with substantial time spent owning a mission-critical platform end-to-end across both application and infrastructure layers. Direct, demonstrable experience architecting a mission-critical regulated financial platform from a blank sheet: this is non-negotiable. Direct, demonstrable experience as the technical authority on a CSD, custody platform, post-trade platform, capital markets platform, or core banking system of comparable mission-criticality: also non-negotiable.</p> <p>Hands-on technical credibility across both application and infrastructure layers: able to read code, query a database, design a network topology, debug an integration, and challenge a vendor's technical decisions with authority. Demonstrated experience holding a major build vendor or system integrator to account on technical delivery. Deep understanding of how a regulated financial-services business works, not just the technology underneath it. Fluent in English.</p> <p>Experience in financial market infrastructure (CSD, CCP, exchange, or payment system) is an advantage. So is familiarity with CPMI-IOSCO principles and experience designing SWIFT, Bloomberg, and ICSD integrations.</p> <h4>What this is</h4> <p>The platform does not exist yet. The architecture has not been designed, the infrastructure has not been built, and the operating model has not been written. The person who takes this role will have done all of it. If you have genuinely architected and owned a mission-critical regulated financial platform from a blank sheet, and you have the hands-on credibility and delivery drive to do it again, this is worth a conversation.</p></p><p></p>

<p><h4>Description</h4> <p>The role</p> <p>We are looking for a hands-on senior ML engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice. This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead and mentor a team of highly talented junior ML engineers through:<br>   • Code reviews, design reviews, and technical direction<br>   • Enforcement of strong software engineering and ML best practices</li> <li>Design, deploy, and operate scalable AI systems with a focus on reliability and performance</li> <li>Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)</li> <li>Own <strong>model performance end-to-end</strong>, combining evaluation, observability, and hardware optimization:<br>   • Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)<br>   • Implement deep observability (tracing, latency, error tracking)<br>   • Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)<br>   • Continuously improve throughput, latency, and cost efficiency</li> <li>Architect and manage GPU infrastructure:<br>   • Model serving, load balancing, and scaling strategies<br>   • Hardware-aware deployment and performance tuning</li> <li>Build and maintain robust MLOps pipelines:<br>   • Model/version management, CI/CD, automated testing, and rollback strategies<br>   • Monitoring and feedback loops for continuous improvement</li> <li>Engage directly with clients and stakeholders to:<br>   • Gather and clarify business requirements<br>   • Translate non-technical needs into well-defined technical problems<br>   • Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals</li> <li>Contribute hands-on to system design, implementation, debugging, and production incident resolution</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Proven experience deploying LLMs in production</li> <li>Strong experience with GPU-based inference and optimization</li> <li>Solid backend engineering skills (Python, APIs, distributed systems)</li> <li>Experience with MLOps and production ML systems</li> <li>Experience with OCR/document AI and/or voice systems (STT/TTS)</li> <li>Experience with Docker and Kubernetes</li> <li>Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows)</li> <li>Experience mentoring or leading engineers</li> <li>Strong communication skills with the ability to bridge business and technical domains</li> </ul> <p><strong>Nice to have:</strong></p> <ul> <li>Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma)</li> <li>Experience with on-prem / sovereign AI deployments</li> <li>Experience with LoRA / fine-tuning</li> <li>Multilingual or Arabic NLP experience</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The role</p> <p>We are looking for a hands-on senior ML engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice. This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead and mentor a team of highly talented junior ML engineers through:<br>   • Code reviews, design reviews, and technical direction<br>   • Enforcement of strong software engineering and ML best practices</li> <li>Design, deploy, and operate scalable AI systems with a focus on reliability and performance</li> <li>Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)</li> <li>Own <strong>model performance end-to-end</strong>, combining evaluation, observability, and hardware optimization:<br>   • Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)<br>   • Implement deep observability (tracing, latency, error tracking)<br>   • Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)<br>   • Continuously improve throughput, latency, and cost efficiency</li> <li>Architect and manage GPU infrastructure:<br>   • Model serving, load balancing, and scaling strategies<br>   • Hardware-aware deployment and performance tuning</li> <li>Build and maintain robust MLOps pipelines:<br>   • Model/version management, CI/CD, automated testing, and rollback strategies<br>   • Monitoring and feedback loops for continuous improvement</li> <li>Engage directly with clients and stakeholders to:<br>   • Gather and clarify business requirements<br>   • Translate non-technical needs into well-defined technical problems<br>   • Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals</li> <li>Contribute hands-on to system design, implementation, debugging, and production incident resolution</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Proven experience deploying LLMs in production</li> <li>Strong experience with GPU-based inference and optimization</li> <li>Solid backend engineering skills (Python, APIs, distributed systems)</li> <li>Experience with MLOps and production ML systems</li> <li>Experience with OCR/document AI and/or voice systems (STT/TTS)</li> <li>Experience with Docker and Kubernetes</li> <li>Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows)</li> <li>Experience mentoring or leading engineers</li> <li>Strong communication skills with the ability to bridge business and technical domains</li> </ul> <p><strong>Nice to have:</strong></p> <ul> <li>Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma)</li> <li>Experience with on-prem / sovereign AI deployments</li> <li>Experience with LoRA / fine-tuning</li> <li>Multilingual or Arabic NLP experience</li> </ul></p><p></p>