Python Developer Jobs in Oman

<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 competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<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 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks.<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p>Discover the Opportunity Are you an expert UiPath Architect ready to lead high-impact automation initiatives? We are seeking a Solution Architect to serve as the technical mastermind behind expanding, enterprise-grade Intelligent Process Automation (IPA) architectures for a huge telecom organization. Discover the Responsibilities • Design scalable, sustainable, end-to-end RPA frameworks and write comprehensive Solution Design Documents (SDD). • Incorporate cutting-edge UiPath capabilities, including Intelligent Document Processing (IDP), Document Understanding, OCR, and AI/ML models into enterprise workflows. • Enforce development best practices, conduct code reviews, and guide high-performing developer teams to align with core architectural standards. • Oversee seamless integrations between UiPath software and legacy IT infrastructure, databases (SQL/NoSQL), and APIs. • Act as the strategic bridge between business leads and development teams to translate operational requirements into technical automation solutions. Discover the Requirements • Experience: 7+ years in software development or RPA, with at least 3+ years specifically as a UiPath Solution Architect. • Certification: UiPath Advanced RPA Developer (UiARD) or UiPath Certified Professional certification is required. • Deep proficiency in UiPath Document Understanding and IDP capabilities. • Hands-on coding experience in C#, .NET, Python, or Java. • Strong scripting skills in PowerShell, JavaScript, or VBA. • Solid database experience (SQL/NoSQL) and building/consuming REST/SOAP APIs. • Domain Background: Proven track record delivering complex automation projects within enterprise or regulated domains (e.g., Telecom, Banking, or Energy). This role is located in Muscat, Oman - a stunning coastal capital known for its breathtaking natural landscapes, from dramatic mountain ranges to clear turquoise wadis. It offers a peaceful, high-quality lifestyle while being just a short 1-hour flight from Dubai.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Experience:</strong> 7+ years in software development or RPA, with at least 3+ years specifically as a UiPath Solution Architect.</li><li><strong>Certification:</strong> UiPath Advanced RPA Developer (UiARD) or UiPath Certified Professional certification is required.</li><li>Deep proficiency in UiPath Document Understanding and IDP capabilities.</li><li>Hands-on coding experience in C#, .NET, Python, or Java.</li><li>Strong scripting skills in PowerShell, JavaScript, or VBA.</li><li>Solid database experience (SQL/NoSQL) and building/consuming REST/SOAP APIs.</li><li><strong>Domain Background:</strong> Proven track record delivering complex automation projects within enterprise or regulated domains (e.g., Telecom, Banking, or Energy).</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Apprenti-e Data Engineer F/H</p><br><br><p>Alternance</p><br><br><p>1 - 2 ans</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Safran Aircraft Engines réceptionne, stocke et analyse les données de vol et de flotte de son parc de moteurs CFM56 et LEAP. Ces données sont utilisées afin :<br>- D'analyser en temps quasi réel la santé des moteurs et de proposer des actions de maintenance en cas de dérive. <br>- De réaliser des retours d'expérience sur le comportement flotte en lien avec la rentabilité des contrats de service<br>- De proposer des architectures moteurs avancées pour de futurs concepts<br>Intégré-e à la direction du Support Client, département « Fleet Data Management », au sein de l'équipe « Monitoring Advanced Systems », vous aurez les missions suivantes :<br>o Explorer différentes pistes sur une architecture AWS pour créer des pipelines visant à extraire de la donnée et créer des KPI<br>o Développer des outils de création d'indicateurs de disponibilité de la donnée<br>o Développer des outils d'indication de la qualité de la chaîne de données<br>o Caractériser l'architecture de collecte vis-à-vis des objectifs de rapidité de traitement et proposer des améliorations<br>Dans le cadre de ces travaux vous serez amené-e à échanger avec les bureaux d'études et différents services du support client.</p><br><br><p>Possibilité de télétravail<br>Formations disponibles<br>accès au CSE</p><br><br><p>Etudiant-e en recherche d'apprentissage après au minimum un BAC+4. Vous menez des études orientées autour de la data, avez de bonnes bases en programmation (Python de préférence, SQL, Scala, Spark, …) et souhaitez renforcer ces compétences dans un milieu industriel de terrain.<br>Autonome, vous êtes reconnu-e pour votre curiosité, rigueur, réactivité nécessaire au travail sur des projets transverses.<br>Bonne maitrise de l'anglais requise. <br>Une connaissance du monde aéronautique et du Big Data sont des plus.</p><br><br><br> </div>

<p><b>Job Summary:</b></p><p><br></p><p>&nbsp;Lead the design, integration, automation, and continuous improvement of the OSS ecosystem. Ensure reliable monitoring and visualization of network alarms, performance, service assurance, and inventory across multi-vendor platforms while driving scalable, resilient, and highly available telecommunications operations.</p><p><b><br></b></p><p><b>Tasks and Responsibilities:</b></p><p>OSS Platform Architecture &amp; Administration</p><ul><li>Manage the Cygnet OSS Platform and related applications.</li><li>Ensure platform scalability, availability and resilience.</li><li>Lead upgrades, patching and migrations.</li><li>Maintain accurate network and configuration data.</li><li>Keep technical documentation and procedures updated.</li></ul><p>OSS Integration &amp; Network Data Management</p><ul><li>Manage integrations with multi-vendor NMS and EMS platforms.</li><li>Onboard new network domains into the OSS environment.</li><li>Ensure accurate synchronization of alarms, inventory and performance data.</li><li>Develop and maintain API integrations.</li><li>Validate service assurance, alarm correlation and performance processes.</li></ul><p>Automation &amp; Platform Development</p><ul><li>Develop automation solutions using Python, Shell scripting and SQL.</li><li>Build reusable frameworks that reduce manual work.</li><li>Maintain OSS applications and operational tools.</li><li>Develop automated reports and dashboards.</li><li>Improve OSS workflows through scripting and orchestration.</li></ul><p>Network Monitoring &amp; Observability</p><ul><li>Manage network monitoring, logging and observability platforms.</li><li>Develop dashboards, KPIs and alerting policies.</li><li>Implement telemetry, event correlation and performance analytics.</li><li>Proactively monitor OSS applications and network infrastructure.</li><li>Recommend improvements to service availability and performance.</li></ul><p>Infrastructure Engineering &amp; Platform Optimization</p><ul><li>Manage Linux-based OSS and containerized platforms.</li><li>Support Kubernetes, Docker and virtualization technologies.</li><li>Design and optimize databases for OSS applications.</li><li>Integrate OSS with infrastructure management solutions.</li><li>Improve system reliability, scalability and performance.</li></ul><p>Operational Support &amp; Technical Leadership</p><ul><li>Resolve complex OSS incidents and technical issues.</li><li>Conduct root cause analysis and preventive improvements.</li><li>Guide and mentor engineers.</li><li>Collaborate with operational teams on platform enhancements.</li><li>Support major incidents and service restoration.</li></ul><p>Innovation &amp; Continuous Improvement</p><ul><li>Evaluate and adopt relevant emerging OSS technologies.</li><li>Integrate suitable open-source solutions.</li><li>Improve automation, monitoring and operational efficiency.</li><li>Develop technical standards and engineering best practices.</li><li>Support strategic initiatives for operational platform development.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Telecommunications, IT, Computer Science, or related field.</li><li>Professional certifications in Linux, Kubernetes, Red Hat, Python, Cloud, DevOps, Cisco, or OSS technologies are advantageous.</li><li>8 to 10 years of experience in OSS platforms, telecommunications systems, network management systems (NMS/EMS), or systems integration.</li><li>Proven experience supporting multi-vendor OSS environments, automation, Linux, scripting, and OSS platform integration.</li><li>Experience delivering carrier-grade OSS solutions within telecommunications or service provider environments.</li></ul><p>Note: We thank all applicants for their interest, however only those candidates who are shortlisted will be contacted</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 We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<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 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></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 competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<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 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></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 competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<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 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></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 competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<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 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p>INTRODUCTION TO GGGI The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page. In the Sultanate of Oman, GGGI has partnered with the Government through the leadership of the Environment Authority (EA) to develop the "Accelerating Resilience and Innovation for Sustainable Ecosystems management" (ARISE) Program . The ARISE Program is a USD 100 million initiative spanning six years, designed to deliver climate action, ecosystem restoration, and economic growth through Nature-based Solutions (NbS) integrated into the Bioeconomy and Sustainable Special Economic Zones (SSEZs) . The program ultimately targets the restoration of 30,000 hectares of land, an estimated 750,000 tCO2e/year in greenhouse gas emission reductions, and the creation of over 1,000 green jobs. The implementation of the ARISE Program is structured around two phases. Phase 1 will cover 2 years, and Phase 2 will be over 4 years. The funding has been approved for Phase 1.</p><p>POSITION SUMMARY Based in Salalah, in Dhofar Governorate, Oman, the MEL &amp; Data Officer plays a key role as the MEL focal point for the Oman ARISE Program. Reporting directly to the ARISE Program Lead, this position supports the on-the-ground delivery of the multi-year program s results framework. The Officer will work in close collaboration with the Regional MEL Senior Officer for the Middle East and North Africa (MENA) to implement GGGI s organizational-wide MEL framework at the program level. This role involves coordinating MEL implementation, data collection, analysis, and visualization, learning &amp; reporting following the comprehensive MEL plan for ARISE, including supporting baseline assessments such as Knowledge, Aptitude, and Practices (KAP) surveys and ecological data tracking. Additionally, the Officer will collaborate with the Program Implementation Unit (PIU) to create tailored MEL tools, assist in internal and external reporting, and contribute to the capacity of local partners and government stakeholders.</p><p>PURPOSE • Coordinate the implementation and periodic review of MEL framework and MEL Plan specifically for the Oman ARISE Program, ensuring alignment with overall program objectives and GGGI s global MEL standards. • Support updates to the Theory of Change (TOC) and Detailed Implementation Plan (DIP) based on field validations and data collection. • Coordinate and execute formal baseline assessments including integrating GIS spatial data, GHG emission tracking, and socio-economic data within the first months of the inception phase. • Collaborate with the Program Lead and technical experts to design tailored mobile data collection tools and dashboards that effectively monitor and evaluate program outputs and outcomes. • Compile lessons learned and best practices to refine the program s adaptive management strategies.</p><p>ENGAGEMENT • Collaborate with program team members to design, test, and implement tailored MEL and data collection tools that effectively monitor and evaluate community-level project activities. • Maintain close communication with the RO-MENA and collaborates closely with the Regional MEL Senior Officer (MENA) to ensure adherence and contribute to GGGI s Project/Program Cycle Management (PCM) guidelines and MEL methodologies. • Engage actively with key Omani government stakeholders, including the Environment Authority (EA), the National Centre for Statistics and Information (NCSI), and the Oman Zero Carbon Center, to align program MRV methodologies with national tracking systems and NDCs. • Partner with local academic institutions, primarily the Dhofar University Biodiversity Research Center (BRC), to execute randomized field surveys, focus group discussions, and ecological data triangulation.</p><p>DELIVERY • Coordinate and support mixed-methods baseline assessments, including large-scale KAP surveys targeting Dhofar communities, ensuring high-quality data collection following statistically valid random sampling frameworks. [JY1] • Compile and analyze secondary data analysis using historical government records, GIS mapping platforms, and localized emission factors to establish accurate Zero-Point Baselines for rangeland degradation and GHG emissions. • Clean, process, and analyze complex quantitative and qualitative datasets, utilizing data visualization to regularly produce stakeholder-friendly update briefs to [JY2] [JY3] support evidence-based decision-making for the Program Steering Committee (PSC) and Program Management Committee (PMC).Develop [JY4] [JY5] the official ARISE Program MEL Plan and is data collection mechanisms to monitor and measure the program s progress against environmental and socioeconomic performance indicators and Ensure all the program data is collected on time on the GGGI Online.. • Maintain internal project reporting, including tracking the 750,000 tCO2e/year emission reduction and 30,000 ha restoration targets via GGGI Online (GO). • Program and deploy mobile data collection tools (e.g., Open Data Kit, MS forms, Google survey, Kobo Toolbox, Ona) utilizing XLS form-building. • Prepare Annual End-Of-Year-Results (EOYR) reports, impact case studies, and donor progress reports in a timely and highly professional manner. • Ensure the preparation, accuracy and timely submission of monitoring reports.</p><p>WORKING CONDITIONS The MEL &amp; Data Officer is an G8NAT grade level in GGGI's national salary scale, details of which can be found in the GGGI Staff Rules on GGGI s website. In addition, GGGI provides 27 days of annual leave, flexible work arrangements and contribution towards private health insurance that covers dental and vision. GGGI is committed to providing a work environment that is sufficiently flexible to accommodate diverse life-cycle challenges and assist Staff members to achieve a better balance between work commitments and personal and family commitments, thus ensuring high performance, long-term productivity and well-being of Staff members. For more information on GGGI's terms and conditions (allowances, health care, education etc.) please familiarize yourself with GGGI's Rules and Regulations that can be found here: https://gggi.org/policy-documents/. Child protection GGGI is committed to child protection, irrespective of whether any specific area of work involves direct contact with children. GGGI s Child Protection Policy is written in accordance with the Convention on the Rights of the Child.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Master's degree or equivalent in economics, statistics, data science, environmental science, development studies, or a related field.</li><li>A minimum of 5 years of professional experience in monitoring and evaluation, data analysis, and program development for large-scale international development or climate finance projects.</li><li>Demonstrated expertise in quantitative and qualitative data analysis software (e.g., R, Python, MAXQDA) and advanced Microsoft Excel (VBA).</li><li>Proven experience utilizing mobile data collection platforms (Kobo Toolbox, Ona, etc.) and developing user-friendly digital survey forms.</li><li>Exceptional analytical, writing, and presentation skills in English are required.</li><li>Fluency in Arabic is an asset for this role and is highly desirable.</li></ul><p><strong>FUNCTIONAL COMPETENCIES</strong></p><ul><li>Strong written and verbal communication skills in English; ability to draft high-quality MEL frameworks, evaluation reports, and technical documents.</li><li>Strong project management and coordination skills, including experience working with governments (e.g., Environment Authority), development partners, and technical experts.</li><li>Ability to interpret technical analysis, GIS mapping, and GHG modeling outputs and translate them into actionable MEL insights and policy-level reporting.</li><li>Strong background in developing complex logframes and impact tracking mechanisms, particularly for climate change, agriculture, or Nature-based Solutions (NbS).</li><li>Ability to coordinate consultants, enumerators, and data collection activities across multiple stakeholders without direct line management authority.</li><li>Strong organizational skills and attention to detail, with the ability to manage competing priorities and meet deadlines in a time-sensitive environment.</li><li>Solutions-oriented and collaborative approach to problem solving in a multi-stakeholder setting.</li></ul><p><strong>CORPORATE</strong></p><ul><li>Understand and actively support GGGI's mission, vision and values.</li><li>Promote an organizational culture of trust, transparency, respect and partnership.</li><li>Excel at problem solving, ask questions and seek support when needed, share easily information and knowledge with others both internally as externally.</li><li>Manage emotions and stress positively, build rapport and resolves conflict easily.</li><li>Strong ability to work independently and/or remotely, while maintaining productivity.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Apprenti-e Data &amp; AI Product Builder F/H</p><br><br><p>Alternance</p><br><br><p>12 à 24 mois</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Safran est un groupe international de haute technologie opérant dans les domaines de l'aéronautique (propulsion, équipements et intérieurs), de l'espace et de la défense. SafranAicraft Engines est une société du Groupe Safran. Porté par plus de 27 000 collaborateurs répartis sur 31 sites dans 9 pays, Safran Aircraft Engines (SAE) est un motoriste aéronautique depuis plus de 110 ans. Nous concevons, développons, produisons et commercialisons, seul ou en coopération, des moteurs pour avions civils ou militaires, ainsi que pour les satellites.<br>Au sein de la Division Support et Services, la Marque Support &amp; Services a pour mission de piloter et et coordonner les différentes fonctions de l'après-vente pour les programmes Moteurs Civils, gérer les plans d'actions de la flotte avion équipée de nos moteurs, mettre en œuvre le plan de réduction des coûts de maintenance, et rassembler et partager les hypothèses de planification globale des activités support et services.<br>En tant qu'alternant-e, vous participerez au développement d'outils d'analyse de données et intégration de l'IA pour accompagner la montée en puissance de nos capacités d'analyse au sein de notre département.<br>Dans ce cadre, vous interviendrez principalement sur les missions suivantes :<br>• Participer à l'identification, la formalisation et l'analyse des besoins utilisateurs, en étant directement intégré à l'équipe opérationnelle pour comprendre leur quotidien, identifier les tâches chronophages ou irritantes, et imaginer avec elles de nouvelles façons de travailler grâce notamment à l'intelligence artificielle,<br>• Participer à la conception, au développement et au déploiement d'outils informatiques (Python, PBI,...) et d'agents ou de produits exploitant les technologies d'intelligence artificielle afin de transformer les besoins utilisateurs en solutions concrètes à forte valeur ajoutée,<br>• Participer au maintien en conditions opérationnelles des outils développés en collaboration avec les équipes Data Services Factory et métiers,<br>• Former les utilisateurs, animer des démonstrations, et communiquer sur les outils développés.</p><br><br><p> Vous aimez autant échanger avec les utilisateurs que développer des solutions techniques.<br>Curieux-se et créatif-ve, vous aimez comprendre comment les équipes travaillent au quotidien afin d'identifier des opportunités d'amélioration concrètes.<br>• Vous êtes à l'aise pour aller sur le terrain, observer les activités, anim</p><br><br><p>• Vous êtes passionné-e par le domaine de l'aéronautique et vous êtes étudiant-e en école d'ingénieur ou en master spécialisé en Data Science ou Intelligence Artificielle.<br>• Vous disposez de connaissances en programmation, en architecture et en analyse des données. Vous souhaitez développer vos compétences en science de la donnée et en intelligence artificielle.<br>• Vous avez une bonne compréhension du fonctionnement des solutions d'IA génératives, comme M365 Copilot ou ChatGPT, et une bonne connaissance du prompt engineering.<br>Vous avez des compétences en langage de codage comme le python <br>• Vous faites preuve d'un bon sens du client, tenu des délais et des engagements.<br>• Vous avez développé une agilité, une curiosité et une capacité d'innovation.</p><br><br><br> </div>

<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>

<p>Al Ghafa is seeking a motivated Junior IT &amp; Automation Associate to support the company's digital transformation initiatives. The role is ideal for an early-career professional who is passionate about technology, eager to learn, and committed to developing practical automation and IT solutions that improve productivity and operational efficiency.</p><p><b><br></b></p><p><b>Tasks and Responsibilities:</b></p><ul><li>Execute the company's strategic IT vision for automation across all departments and sectors, leveraging RPA bots, AI tools, and modern platforms to streamline tasks and improve efficiency.</li><li>Design and implement a secure, user-friendly customer-facing portal that supports document uploads, real-time tracking of service requests, and dashboard visualizations.</li><li>Develop backend systems, including databases and OCR engines, to extract structured data from scanned documents and other inputs as required for automated processing.</li><li>Build or integrate automation bots (e.g., Selenium, Power Automate, UiPath) to perform tasks such as filling out and submitting forms, uploading documents, and completing payments on government portals or other internal/external platforms.</li><li>Automate invoice processing and data entry workflows using AI-powered OCR tools to eliminate manual data entry and improve accuracy in financial operations.</li><li>Develop and deploy AI-based tools and API-driven automations for HR tasks, including overtime tracking, attendance logging, and other administrative functions.</li><li>Integrate UniFi infrastructure (e.g., UDM, NAS, user access tracking) with Microsoft services (e.g., Power BI, Entra ID sync) to create a seamless and scalable digital environment for both employees and customers.</li><li>Document all systems, processes, and configurations, and conduct knowledge transfer sessions to ensure a smooth handover and long-term sustainability of implemented solutions.</li><li>Participate in internal training and mentoring sessions to expand technical skills and industry knowledge.</li><li>Contribute ideas and solutions to enhance efficiency, user experience, and system performance.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><b>Qualifications and Experience:</b></p><ul><li>Experience: 2-4 years</li><li>Bachelor's degree in computer science, Information Technology, Software Engineering, or related field.</li><li>Basic understanding of one or more of the following: Microsoft Power Platform (Power Automate, Power Apps, Power BI) Python or JavaScript programming Cloud or AI services (Azure, Google Cloud, or similar)</li><li>Eagerness to learn, explore new technologies, and develop practical IT solutions.</li><li>Strong problem-solving skills, attention to detail, and ability to work collaboratively.</li><li>Positive attitude, adaptability, and a passion for continuous learning.</li></ul><p>Note: We thank all applicants for their interest, however only those candidates who are shortlisted will be contacted</p>

<p>1. Purpose of the Position This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes. Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:</p><p>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).</p><p>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.</p><p>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.</p><p>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.</p><p>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.</p><p>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.</p><p>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p><p>Key Responsibilities</p><ul><li>Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</li><li>Ensure all necessary content and material is in place for the degree programmes in time.</li><li>Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</li><li>Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</li><li>Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</li><li>Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</li><li>Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</li><li>Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</li><li>Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</li><li>Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</li><li>Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</li><li>Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</li><li>Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</li><li>Work with the Faculty Dean and other University representatives to ensure student attainment, success and progression by monitoring student attendance and performance, and obtaining student feedback.</li></ul><p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University. Any other duties as deemed necessary by the Line Manager. While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. * The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications, Experience &amp; Competencies:</h2><p>The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:</p><ul><li><strong>Educational Qualifications:</strong> A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.</li><li><strong>Specialization Areas:</strong> Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.</li><li><strong>Teaching Experience:</strong> Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.</li><li><strong>Research Engagement:</strong> Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.</li><li><strong>Industry Experience:</strong> Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.</li><li><strong>Practical Skills:</strong> Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.</li><li><strong>Professional Development:</strong> Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.</li><li><strong>Community Participation:</strong> Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</li></ul><p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p>

<p>We're partnering with a leading technology consultancy to find a Senior IPA Developer with deep UiPath expertise to join their growing automation practice in Muscat. Discover the Role You'll take the lead on designing, developing, testing, and maintaining UiPath automation solutions for enterprise clients. Beyond delivery, you'll mentor junior team members, manage project timelines, and be a trusted advisor on all things RPA.</p><p>• Designing and implementing UiPath workflows using UiPath Studio and related tools.</p><p>• Troubleshooting and debugging automation solutions to meet client expectations.</p><p>• Building custom activities and reusable components to improve efficiency.</p><p>• Collaborating with business stakeholders, analysts, and technical teams to integrate solutions.</p><p>• Leading code reviews and QA activities to ensure adherence to best practices.</p><p>• Supporting business case development for further RPA adoption.</p><p>• Mentoring junior developers and contributing to their RPA skill development.</p><p>• Managing project documentation and ensuring knowledge transfer to clients.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years of experience in software development or automation using RPA tools.</li><li>Minimum 3 years of UiPath development experience.</li><li>UiPath RPA Developer Advanced Certification (UiARD) mandatory.</li><li>Strong UiPath Documents understanding skills.</li><li>Experience with IDP, OCR, AI/ML technologies (UiPath, ABBYY, Google, Microsoft).</li><li>Programming skills in C#.Net, VB.NET, C++, Python, or Java.</li><li>Scripting experience: PowerShell, VBA, VBScript, Bash.</li><li>Database knowledge (SQL, NoSQL) and API experience.</li><li>Telecom industry background is a must.</li><li>Agile delivery experience and excellent communication skills.</li></ul>

<p> <strong>Job Title </strong>Linux OS Administrator (OpenShift and Ansible Specialist)</p> <p> <strong>Department</strong> Enterprise IT Infrastructure </p> <p> <strong>Job Summary</strong> </p> <p>As a Linux OS Administrator specialized in OpenShift and Ansible, you will play a crucial role in maintaining and enhancing our clients' Linux-based infrastructure and deploying applications on OpenShift. You will also be responsible for automating tasks using Ansible, streamlining processes, and ensuring the stability, security, and high availability of systems. Your expertise in both OpenShift and Ansible will be instrumental in optimizing performance, resolving issues, applying security standards, performing OS patching, and supporting our clients' technology needs.</p> <p> <strong>Responsibilities</strong> </p> <p>1. Install, configure, patch, and maintain Linux-based systems to ensure optimal performance, security, and reliability.</p> <p>2. Deploy and manage containerized applications on the OpenShift platform, including setting up pods, services, and routes.</p> <p>3. Monitor system performance and proactively identify and resolve issues to ensure continuous availability of services.</p> <p>4. Collaborate with development teams to troubleshoot any application-related issues on OpenShift.</p> <p>5. Develop, test, and maintain Ansible playbooks for automating various system administration tasks, including software installations, configurations, and updates.</p> <p>6. Implement and maintain security measures to protect systems from unauthorized access, data breaches, and cyber threats, as per the approved Security Standard. This includes configuring controls, setting up access controls, and supporting configuration and system audits.</p> <p>7. Apply security standards and best practices to ensure compliance with industry regulations and company policies.</p> <p>8. Perform regular OS patching and updates to address security vulnerabilities and keep systems up-to-date.</p> <p>9. Perform routine system backups, disaster recovery planning, and system upgrades to keep systems resilient and protected.</p> <p>10. Assist in capacity planning and resource allocation to optimize infrastructure performance.</p> <p>11. Conduct regular security assessments and vulnerability scans to identify and address potential vulnerabilities.</p> <p> <strong>Requirements</strong> </p> <p>1. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).</p> <p>2. Proven experience in Red Hat Enterprise Linux (RHEL), and certified RHCE.</p> <p>3. Strong expertise in deploying and managing applications on Kubernetes, and OpenShift.</p> <p>4. Proficiency in automation using Ansible, including creating playbooks, roles, and modules.</p> <p>5. Solid understanding of networking concepts, TCP/IP, DNS, and firewall configurations.</p> <p>6. Experience with containerization technologies and container orchestration.</p> <p>7. Knowledge of scripting languages (e.g., Bash, Python) to automate tasks and create custom solutions.</p> <p>8. Experience in OS monitoring tools, and commands.</p> <p>9. Excellent problem-solving skills and ability to work well under pressure in a fast-paced environment.</p> <p>10. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and clients.</p> <p> </p> <p> <strong>Technical Experience </strong> </p> <p>1. Experience with cloud platforms like AWS, Azure, or Google Cloud.</p> <p>2. Familiarity with other containerization platforms such as Docker Swarm or Kubernetes.</p> <p>3. Red Hat Certified Specialist in Ansible Automation.</p> <p>4. Red Hat Certified OpenShift Administrator.</p> <p> </p> <p> </p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The opportunity Goodman Masson is partnering with a new financial markets infrastructure venture under formation in Oman.<br> Backed by prominent institutional investors, the business is building a greenfield platform from the ground up, and is now hiring at the build stage.<br> This is a rare chance to help stand up critical market infrastructure from a blank sheet and then run what you have built.<br> The role As Lead Post-Trade Support Specialist you own the operational health of the post-trade platform in production: the settlement and registry lifecycle, corporate actions and reconciliation, the interfaces to settlement banks and market counterparties, and the messaging that carries every instruction in and out.<br> On a single-platform business this is the function that keeps settlement finality flowing and stands between a production fault and a settlement failure.<br> In the build phase you design the support model that will run the platform.<br> In the run phase you operate the service and the team you have designed.<br> What you will do Own second- and third-line application support across the settlement, registry, clearing, and corporate actions functions Monitor the trade, settlement, corporate actions, and reconciliation lifecycle in production, and act on exceptions before they reach participants Own incident, problem, and root-cause management, and lead the technical bridge in a major incident Support and monitor the messaging and integration layer including SWIFT ISO 15022 and ISO 20022, and resolve message and interface failures Own the batch estate and the schedulers that drive the settlement day, and recover processing within the settlement-day timetable Design the run-phase support model, author the runbooks, and build and lead the support team Location and terms Based in Muscat, Oman.<br> Permanent for Omani nationals; two-year fixed-term contract for expatriate hires.<br> Omani nationals are strongly encouraged to apply.<br> If this is your kind of build, please apply now!<br> What you will bring Degree in computer science, information technology, or a related discipline Six to ten years in post-trade support within capital markets or a comparable financial institution Deep knowledge of the post-trade lifecycle: settlement, clearing, corporate actions, reconciliations, and off-market transactions Knowledge across asset classes: equities, fixed income, and derivatives Direct experience supporting a SWIFT ISO 15022 or ISO 20022 integration layer Hands-on experience with an enterprise scheduler such as Control-M or Autosys Strong SQL, Unix or Linux, and scripting, with production monitoring tools ITIL-aligned incident, problem, and change management Fluent English, written and spoken Also of interest Direct experience supporting a financial market infrastructure such as a central securities depository, central counterparty, exchange, or settlement system Familiarity with the CPMI-IOSCO Principles for Financial Market Infrastructures, particularly the operational risk and resilience principles Experience supporting a modern central securities depository or clearing platform ITIL certification Depth in scripting and automation such as Python or shell</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Goodman Masson is partnering with a new financial markets infrastructure venture under formation in Oman.<br> Backed by prominent institutional investors, the business is building a greenfield platform from the ground up, and is now hiring at the build stage.<br> This is a rare chance to help stand up critical market infrastructure from a blank sheet and then run what you have built.<br> The role As Lead Database Administrator you own the data layer the platform runs on: the databases holding the register of ownership, the transaction history, and the audit trail.<br> The database is the authoritative record of who owns what, so its integrity, availability, and recoverability are the operational core of the business.<br> In the build phase you design and stand up the database estate from a blank sheet.<br> In the run phase you operate the estate and the team you have designed.<br> What you will do Design the database architecture from first principles: platform selection, schema and storage design, high availability, replication and clustering, backup and point-in-time recovery, and the security model Install, configure, and operate enterprise database platforms across the estate, and own build standards, patching, and version currency Own high availability and disaster recovery for the authoritative register, and prove failover and restore on a defined cycle Own performance monitoring and tuning, SQL optimisation, and capacity planning across the settlement and registry lifecycle Own database security in the first line: hardening, encryption, privileged access, and vulnerability management Design the run-phase operating model, author the runbooks, and build and lead the database team Location and terms Based in Muscat, Oman.<br> Permanent for Omani nationals; two-year fixed-term contract for expatriate hires.<br> Omani nationals are strongly encouraged to apply.<br> If this is your kind of build, please apply now!<br> What you will bring Degree in computer science or a related discipline Six to ten years in database administration, with substantial time in large financial institutions such as banks or capital markets Strong expertise across enterprise database platforms including Oracle and SQL Server, with PostgreSQL and or MySQL Deep expertise in backup and recovery, high availability, replication, and clustering Strong performance tuning and SQL optimisation Direct experience of database security, access control, patching, and compliance Linux and Windows administration, and scripting with PowerShell, Bash, or Python Fluent English, written and spoken Also of interest Experience administering the data estate of a financial market infrastructure such as a central securities depository, central counterparty, exchange, or settlement system Familiarity with the CPMI-IOSCO Principles for Financial Market Infrastructures, particularly the operational risk and resilience principles Cloud database exposure across Azure, AWS, or GCP Relevant certifications such as Oracle OCP, Microsoft Azure Database, or PostgreSQL Experience designing recovery time and recovery point objectives for a regulated platform</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Area &amp; Key Responsibilities</strong></p><p><strong>Research &amp; Innovation</strong></p><ul><li>Conduct high-impact AI research aligned with AIAC's strategic themes, including healthcare, Energy, natural Resources, Education, and NLP.</li><li>Develop novel models, algorithms, and architectures that address real-world challenges in Oman and the broader GCC region.</li></ul><p><strong>Platform &amp; System Development</strong></p><ul><li>Design and build AI-powered applications and platforms.</li><li>Contribute to active projects under AIAC, including diagnostic AI systems, smart communication tools, and applied data science solutions for government and industry.</li></ul><p><strong>Grant Proposal Writing</strong></p><ul><li>Co-author and lead research grant proposals targeting national (TRC, URG) and international funding bodies.</li><li>Manage deliverables and milestones for funded projects.</li></ul><p><strong>Publication &amp; Dissemination</strong></p><ul><li>Publish research outcomes in high-quality peer-reviewed journals and present at international conferences.</li><li>Represent AIAC at academic and industry events globally.</li></ul><p><strong>Mentorship &amp; Training</strong></p><ul><li>Supervise graduate students and junior researchers.</li><li>Contribute to AI training programs and workshops aimed at capacity building across academic and professional communities.</li></ul><p><strong>Collaboration &amp; Partnerships</strong></p><ul><li>Engage with national institutions, industry partners, and international collaborators (including partner universities and research networks) to broaden AIAC's research impact and visibility.</li></ul><p><strong>Core Technical Skills &amp; Tools</strong></p><p><strong>AI/ML Frameworks</strong></p><ul><li>Python, R / TensorFlow / Keras / PyTorch / Scikit-learn</li><li>Hugging Face Transformers</li></ul><p><strong>Research Domains</strong></p><ul><li>Computer Vision / Natural Language Processing / Explainable AI (XAI) / Healthcare &amp; Clinical AI / GeoAI / Remote Sensing</li></ul><p><strong>Data &amp; Dev Tools</strong></p><ul><li>SQL / NoSQL Databases / Docker / Cloud (AWS, Azure) / Node.js / REST APIs / Git / GitHub</li></ul><p><strong>Personal Attributes &amp; Professional Competencies</strong></p><ul><li>Self-motivated, with a high capacity for independent and collaborative research.</li><li>Strong analytical and problem-solving mindset applied to real-world AI challenges.</li><li>Excellent interpersonal skills and ability to work within multicultural, international teams.</li><li>High ethical standards in research, data governance, and AI deployment.</li><li>Commitment to knowledge transfer and training of the next generation of AI professionals.</li><li>Adaptability and resilience in a dynamic, fast-evolving research environment.</li></ul><p><strong>Application Process</strong></p><ul><li>Updated curriculum vitae (CV) including full publication list.</li><li>Cover letter describing your research vision and alignment with AIAC priorities.</li><li>Copies of three representative publications or technical reports.</li><li>Names and contact details of three academic or professional referees.</li><li>Certified copy of PhD degree certificate and academic transcripts.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>PhD in the field of specialization (Master s degree &amp; Bachelor's degree should be in the same field of general specialization) from a recognized university.</li><li>Strong publication record in peer-reviewed AI/ML venues (IEEE, ACM, Springer, etc.)</li><li>Demonstrated expertise in machine learning, deep learning, or NLP.</li><li>Hands-on AI/ML development skills (Python,TensorFlow, PyTorch, or equivalent).</li><li>Ability to independently lead and manage research projects.</li><li>Excellent written and oral communication skills in English.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience in Explainable AI (XAI), GeoAI, or Healthcare AI</li><li>Familiarity with GIS, remote sensing, or satellite imagery analysis</li><li>Experience developing AI-powered platforms or clinical decision support systems</li><li>Knowledge of SHAP, LIME, TabNet, or similar interpretable ML tools</li><li>Prior grant writing or research funding acquisition experience</li><li>Experience mentoring graduate students or junior researchers</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Développeur Full Stack F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Qui sommes-nous ?<br>Safran, groupe international de haute technologie opérant dans les domaines de<br>l'aéronautique de l'espace et de la défense, se fixe pour ambition de contribuer durablement à<br>un monde plus sûr, où le transport aérien devient toujours plus respectueux de<br>l'environnement. Implanté sur tous les continents et riche de 81 000 collaborateurs, Safran<br>occupe des positions de premier plan mondial sur ses marchés.<br>Safran Aircraft Engines, filiale du Groupe Safran, conçoit, produit et commercialise des<br>moteurs aéronautiques civils et militaires aux meilleurs niveaux de performance. La société est notamment, à travers CFM International, le leader mondial de la propulsion d'avions commerciaux courts et moyen-courriers (famille Airbus A320 par exemple).<br>La Division Support &amp; Services de Safran Aircraft Engines, en charge des activités de<br>maintenance et réparation des moteurs, fait face à une montée en cadence de ses activités<br>dans un contexte de forte croissance et doit accélérer sa transformation digitale.<br>Descriptif du poste<br>Vous avez envie de contribuer à la construction du paysage applicatif de la division de Support et Service ?<br>Cette mission en tant que développeur.seuse full stack est faite pour vous !<br>Intégré(e) aux équipes de la Direction Progrès et Transformation Digitale, vous participez à la collecte du besoin, la spécification, le développement et la recette des nouveaux besoins à mettre en œuvre.<br>Vos missions seront variées et tourneront autour de la conception et réalisation de solutions avec le panel d'outils de développements à disposition.<br>Relations liées au poste :<br>Vous interviendrez dans un environnement complexe avec des interactions multiples :<br>- L'équipe des Business Analysts et développeurs<br>- La DSI : architectes techniques, experts middleware, Responsables et Experts Solutions<br>- Les Data Stewards<br>- Les Garants Métier des Applications</p><br><br><p>-</p><br><br><p>Les compétences techniques suivantes sont nécessaires à la mission :<br>-Expérience informatique<br>-Expertise sur des outils à disposition pour développer des applications <br>-Utilisation de l'offre Digital Factory de la DSI : UIPATH (Robot Process Automation), ITEROP (Workflow), OUTSYSTEM (Apps low code / no code), technologies AWS pour le développements d'applications Web<br>-Utilisation d'outils bureautiques tels que Access, Python, Excel, …<br>-Notions en pilotage de projet<br>Pour réussir dans la mission, vous aurez les compétences suivantes : <br>- orienté.e résultats<br>- sens du client<br>-Motivé.e, curieux.se, investie<br>-écoute active.</p><br><br><br> </div>