Python Developer Jobs in Oman
127 Jobs Found
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<br><strong><u>The Opportunity</u></strong><br>
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<p><span>The Data Governance & Reporting Specialist is responsible for ensuring high-quality, governed, and actionable data across the organization. This role combines data governance, data quality, and reporting capabilities to support regulatory, operational, and strategic decision-making.</span></p><br><br>
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<br><strong><u>Key Responsibilities</u></strong><br>
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<p><span>Data Governance & Compliance</span></p><br><br><ul><li><span>Support implementation of data governance framework, policies and standards</span></li><li><span>Ensure compliance with regulatory requirements (PDPL, DOH, CBUAE)</span></li><li><span>Maintain governance documentation and data standards</span></li><li><span>Act as liaison between Data, IT and business stakeholders<br></span></li></ul><br><p><span>Data Quality Management</span></p><br><br><ul><li><span>Develop and monitor data quality rules and controls</span></li><li><span>Track data issues and remediation actions</span></li><li><span>Ensure data accuracy for reporting and analytics</span></li></ul><br><p><span>Reporting & Analytics</span></p><br><br><ul><li><span>Develop dashboards and reports using Power BI</span></li><li><span>Provide insights across claims, underwriting and operations</span></li><li><span>Enable self-service reporting capabilities</span></li></ul><br><p><span>Data Products & Insights</span></p><br><br><ul><li><span>Build governed datasets such as Customer 360 and claims dashboards</span></li><li><span>Support fraud detection and operational monitoring use cases</span></li></ul><br><p><span>Data Integration & Architecture</span></p><br><br><ul><li><span>Document data lineage and transformations</span></li><li><span>Validate ETL processes and data reconciliations</span></li></ul><br><p><span>Stakeholder Collaboration</span></p><br><br><ul><li><span>Work with business teams to define KPIs and data requirements</span></li><li><span>Drive data-driven decision making</span></li></ul><br>
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<br><strong><u>Required Qualifications</u></strong><br>
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<ul><li>Bachelor’s degree in Data Science, Computer Science, Statistics or related field.<br></li><li>5+ years experience in data governance, data quality or reporting roles.<br></li><li>Experience in insurance or financial services preferred.<br></li></ul><br>Technical Skills<br><ul><li>SQL, Power BI<br></li><li>Python/R (preferred)<br></li><li>Data governance and data quality tools (Collibra, Talend, etc.)<br></li><li>Understanding of data governance frameworks (DAMA, DCAM)<br></li></ul><br>Soft Skills<br><ul><li>Strong analytical and problem-solving skills<br></li><li>Stakeholder management and communication<br></li><li>Documentation and process design<br></li><li>Highly structured and organized, with strong attention to details<br></li></ul>
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<br><strong><u>Preferred Qualifications</u></strong><br>
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<h2 class="h5">Job description</h2>
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<p>Apprentissage – IA/LLM pour la Transformation de l'Ingénierie Navigation F/H</p><br><br><p>Alternance</p><br><br><p>3 ans </p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>**Contexte**<br>Les systèmes de navigation développés par Safran Electronics & Defense constituent des équipements critiques permettant la détermination en temps réel de la position, de la vitesse et de l'attitude de porteurs civils et militaires (terrestres, marins, aériens, spatiaux). Par exemple, un hélicoptère d'attaque, un avion de ligne ou lanceur spatial. Ces systèmes reposent notamment sur les technologies suivantes : capteurs inertiels, récepteurs GNSS et des architectures hybrides combinant plusieurs sources de données.<br>Leur développement repose sur des activités d'ingénierie exigeantes :<br>• conception et validation d'algorithmes de navigation,<br>• campagnes d'essais en laboratoire et sur porteurs,<br>• production et maintien d'une documentation technique dense (procédures d'essais, rapports, dossiers de justification, scripts d'automatisation).<br>Dans ce contexte, l'IA générative (LLM, RAG, agents intelligents) représente une opportunité forte pour :<br>• automatiser certaines tâches à faible valeur ajoutée,<br>• améliorer la production documentaire,<br>• faciliter la capitalisation et l'accès au savoir technique.<br>L'alternance s'inscrit au cœur d'un programme de transformation stratégique de l'ingénierie, piloté au niveau de la direction et rattaché à un membre du CODIR DIN, garantissant une forte visibilité et un lien direct avec les enjeux opérationnels.<br>**Objectifs**<br>Développer des outils basés sur l'IA générative pour améliorer l'efficacité de l'ingénierie, notamment via des workflows de génération automatique de documents techniques.<br>**Missions principales**<br>• Développement d'applications IA (LLM, RAG)<br>• Mise en place de workflows de génération documentaire<br>• Structuration et exploitation des données techniques<br>• Amélioration continue des outils<br>• Interaction avec les équipes métier<br>**Environnement**<br>• Encadrement direct : membre du CODIR Direction Ingénierie Navigation<br>• Collaboration avec des experts métier et de l'IA<br>• Forte visibilité et impact direct sur des outils destinés à être industrialisés</p><br><br><p>Contraintes particulières liés au poste : Résultats du stage confidentiel entreprise<br>Niveau d'anglais : Intermédiaire</p><br><br><p>Élève ingénieur généraliste avec une spécialisation ou de solides connaissances en intelligence artificielle, ou titulaire d'un diplôme d'ingénieur/Master 2 en IA, data science, NLP, génie logiciel, automatique ou essais.<br>Compétences techniques :<br>• Python<br>• Connaissances en IA générative / LLM<br>• Prompt engineering<br>• RAG<br>• Notions d'agents IA<br>• Intérêt marqué pour les systèmes complexes<br>Qualités personnelles :<br>• Esprit orienté résultats<br>• Esprit analytique et pragmatique<br>• Capacité à dialoguer avec des spécialistes et des experts<br>• Autonomie, rigueur, sens de la démonstration</p><br><br><br> </div>
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<p>STAGE – IA/LLM pour la Transformation de l'Ingénierie Navigation F/H</p><br><br><p>Stage</p><br><br><p>6 mois ou plus</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>**Contexte**<br>Les systèmes de navigation développés par Safran Electronics & Defense constituent des équipements critiques permettant la détermination en temps réel de la position, de la vitesse et de l'attitude de porteurs civils et militaires (terrestres, marins, aériens, spatiaux). Par exemple, un hélicoptère d'attaque, un avion de ligne ou lanceur spatial. Ces systèmes reposent notamment sur les technologies suivantes : capteurs inertiels, récepteurs GNSS et des architectures hybrides combinant plusieurs sources de données.<br>Leur développement repose sur des activités d'ingénierie exigeantes :<br>• conception et validation d'algorithmes de navigation,<br>• campagnes d'essais en laboratoire et sur porteurs,<br>• production et maintien d'une documentation technique dense (procédures d'essais, rapports, dossiers de justification, scripts d'automatisation).<br>Dans ce contexte, l'IA générative (LLM, RAG, agents intelligents) représente une opportunité forte pour :<br>• automatiser certaines tâches à faible valeur ajoutée,<br>• améliorer la production documentaire,<br>• faciliter la capitalisation et l'accès au savoir technique.<br>Le stage s'inscrit au cœur d'un programme de transformation stratégique de l'ingénierie, piloté au niveau de la direction et rattaché à un membre du CODIR DIN, garantissant une forte visibilité et un lien direct avec les enjeux opérationnels.<br>**Objectif du stage**<br>Développer des outils basés sur l'IA générative pour améliorer l'efficacité de l'ingénierie, notamment via des workflows de génération automatique de documents techniques.<br>**Missions principales**<br>• Développement d'applications IA (LLM, RAG)<br>• Mise en place de workflows de génération documentaire<br>• Structuration et exploitation des données techniques<br>• Amélioration continue des outils<br>• Interaction avec les équipes métier<br>**Environnement**<br>• Encadrement direct : membre du CODIR Direction Ingénierie Navigation<br>• Collaboration avec des experts métier et de l'IA<br>• Forte visibilité et impact direct sur des outils destinés à être industrialisés</p><br><br><p>Contraintes particulières liés au poste : Résultats du stage confidentiel entreprise<br>Niveau d'anglais : Intermédiaire</p><br><br><p>Élève ingénieur généraliste avec une spécialisation ou de solides connaissances en intelligence artificielle, ou titulaire d'un diplôme d'ingénieur/Master 2 en IA, data science, NLP, génie logiciel, automatique ou essais.<br>Compétences techniques :<br>• Python<br>• Connaissances en IA générative / LLM<br>• Prompt engineering<br>• RAG<br>• Notions d'agents IA<br>• Intérêt marqué pour les systèmes complexes<br>Qualités personnelles :<br>• Esprit orienté résultats<br>• Esprit analytique et pragmatique<br>• Capacité à dialoguer avec des spécialistes et des experts<br>• Autonomie, rigueur, sens de la démonstration</p><br><br><br> </div>
<h2 class="h5">Job description</h2>
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<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>
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<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 & Responsibilities</p><div class="paragraph"><p><strong>Area & Key Responsibilities</strong></p><p><strong>Research & 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 & 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 & 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 & 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 & 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 & 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 & Clinical AI / GeoAI / Remote Sensing</li></ul><p><strong>Data & 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 & 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 & 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>
<p>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.</p><p><strong>Discover the Responsibilities</strong></p><ul><li>Design scalable, sustainable, end-to-end RPA frameworks and write comprehensive Solution Design Documents (SDD).</li><li>Incorporate cutting-edge UiPath capabilities, including Intelligent Document Processing (IDP), Document Understanding, OCR, and AI/ML models into enterprise workflows.</li><li>Enforce development best practices, conduct code reviews, and guide high-performing developer teams to align with core architectural standards.</li><li>Oversee seamless integrations between UiPath software and legacy IT infrastructure, databases (SQL/NoSQL), and APIs.</li><li>Act as the strategic bridge between business leads and development teams to translate operational requirements into technical automation solutions.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Discover the Requirements</strong></p><ul><li>Experience: 7+ years in software development or RPA, with at least 3+ years specifically as a UiPath Solution Architect.</li><li>Certification: 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>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.</li></ul>
<h2 class="h5">Job description</h2>
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Job description
<p></p><br><p><b>Discover the Opportunity</b></p><br><p>Are you an expert UiPath Architect ready to lead high-impact automation initiatives?<br>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.</p><br><p></p><br><p><b><span>Discover the Responsibilities</span></b></p><br><ul><li><p>Design scalable, sustainable, end-to-end RPA frameworks and write comprehensive Solution Design Documents (SDD).</p><br></li><li><p>Incorporate cutting-edge UiPath capabilities, including Intelligent Document Processing (IDP), Document Understanding, OCR, and AI/ML models into enterprise workflows.</p><br></li><li><p>Enforce development best practices, conduct code reviews, and guide high-performing developer teams to align with core architectural standards.</p><br></li><li><p>Oversee seamless integrations between UiPath software and legacy IT infrastructure, databases (SQL/NoSQL), and APIs.</p><br></li><li><p>Act as the strategic bridge between business leads and development teams to translate operational requirements into technical automation solutions.</p><br></li></ul><p><br><b><span>Discover the Requirements</span></b></p><br><ul><li><p>Experience: 7+ years in software development or RPA, with at least 3+ years specifically as a UiPath Solution Architect.</p><br></li><li><p>Certification: UiPath Advanced RPA Developer (UiARD) or UiPath Certified Professional certification is required.</p><br></li><li><p>Deep proficiency in UiPath Document Understanding and IDP capabilities.</p><br></li><li><p>Hands-on coding experience in C#, .NET, Python, or Java.</p><br></li><li><p>Strong scripting skills in PowerShell, JavaScript, or VBA.</p><br></li><li><p>Solid database experience (SQL/NoSQL) and building/consuming REST/SOAP APIs.</p><br></li><li><p>Domain Background: Proven track record delivering complex automation projects within enterprise or regulated domains (e.g., Telecom, Banking, or Energy).</p><br></li></ul><p><br>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><br><br>
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Ingénieur-e modélisation optronique et simulation pour produits autodirecteurs
Information Technology
<h2 class="h5">Job description</h2>
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<p> Ingénieur-e modélisation optronique et simulation pour produits autodirecteurs F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur & Cadre</p><br><br><p>Temps complet</p><br><br><p>Acteur majeur de l'Optronique de Défense en Europe, SAFRAN Electronics & Defense conçoit, produit et assure le support d'autodirecteurs de missiles à guidage optique.<br>Leur fonctionnement intègre les technologies les plus récentes des cœurs de métiers de Safran Electronics & Défense et combine étroitement plusieurs savoir-faire de pointe : optronique haute performance (laser, visible ou infrarouge), stabilisation inertielle des lignes de visée, électronique analogique et numérique de traitement vidéo, traitements d'images temps réels et traitements par IA, calculateurs.<br>Au sein de l'Unité d'Ingénierie Systèmes Autodirecteurs, vous participerez aux travaux d'étude et de développement de systèmes optroniques complexes pour une large gamme de nouveaux produits, dans le domaine de l'aéronautique de défense et de l'optronique embarquée.<br>Intégré-e au sein d'une équipe produit multidisciplinaire vos missions principales seront de :<br>- Collecter les besoins en simulation auprès des ingénieurs et architectes systèmes<br>- Participer à l'élaboration de l'architecture des simulateurs et la mise en place des modélisations des principales chaînes fonctionnelles des autodirecteurs : imageur, traitement d'images, asservissements de ligne de visée : spécification, codage, validation, gestion de configuration<br>- Prendre en main les outils de modélisation 3D du commerce (manipulation de géométries 3D, calculs thermiques, lancer de rayon, propagation atmosphérique) permettant de simuler le rendu infrarouge de scènes complexes<br>- Mettre en place les scénarios et réaliser les études permettant de maîtriser les performances en simulation des produits tout au long du cycle de développement<br>- Générer et gérer de grandes quantités de données synthétiques et réelles pour les besoins d'apprentissage d'algorithmes d'IA</p><br><br><p>• Une connaissance du secteur aéronautique ou de la défense serait un plus<br>• Possibilité d'évoluer vers un poste en conception algorithmique (traitement d'images, IA, asservissements)<br>• Opportunité de prise de responsabilité (gestion de ressources, planning, etc...)</p><br><br><p>Nous recherchons un profil passionné par la modélisation de systèmes, doté d'une première expérience en développement de produits optroniques ou de simulateurs et d'un excellent sens du relationnel.<br>• Vous êtes titulaire d'un diplôme d'ingénieur, d'un doctorat ou d'un Master 2 à composante optronique ou traitement du signal/image<br>• Vous connaissez les environnement de développement et les langages de programmation C, PYTHON ou MATLAB<br>• Vous maîtrisez les méthodologies de gestion de projet (Agile, Cycle en V) et les outils associés (planning, gestion de configuration, ticketing, ...)<br>• Votre capacité à communiquer, à fédérer les équipes et à résoudre des problèmes complexes est reconnue.</p><br><br><br> </div>
<p><h4>Description</h4>
<p>Remote junior AI engineer – computer vision<br>
Location: Remote<br>
Employment type: Full-time (8 hours) remotely<br>
Experience level: Junior (2+ years)</p>
<p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p>
<p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p>
<p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p>
<p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p>
<h4>Role overview</h4>
<p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p>
<h4>Requirements</h4>
<ul>
<li>Develop and train computer vision models for image and video analysis.</li>
<li>Implement solutions for object detection, image classification, segmentation, and tracking.</li>
<li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li>
<li>Optimize models for GPU performance, inference speed, and scalability.</li>
<li>Deploy AI models into production using APIs and containerized services.</li>
<li>Integrate computer vision models with broader AI and analytics platforms.</li>
<li>Collaborate with software engineers, data scientists, and product teams.</li>
<li>Maintain documentation and ensure code quality and reproducibility.</li>
</ul>
<h4>Required skills & qualifications</h4>
<ul>
<li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li>
<li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li>
<li>Strong knowledge of computer vision concepts and algorithms.</li>
<li>Practical experience with CNN-based models and modern computer vision architectures.</li>
<li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li>
<li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li>
<li>Understanding of model evaluation, metrics, and performance optimization.</li>
<li>Experience deploying models in cloud or on-premises environments.</li>
<li>Familiarity with Docker and basic MLOps practices.</li>
<li>Excellent English communication skills (written and spoken).</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Experience with video analytics or real-time inference.</li>
<li>Exposure to vision transformers or multimodal AI.</li>
<li>Experience with GPU-based training and inference.</li>
<li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li>
<li>Background in domains such as healthcare, smart cities, or industrial AI.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Work on practical, production-grade computer vision solutions.</li>
<li>Access to GPU infrastructure and modern AI tooling.</li>
<li>Collaborative, engineering-focused work environment.</li>
<li>Opportunities for growth and advanced AI exposure.</li>
<li>Competitive compensation package.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Remote junior AI engineer – computer vision<br>
Location: Remote<br>
Employment type: Full-time (8 hours) remotely<br>
Experience level: Junior (2+ years)</p>
<p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p>
<p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p>
<p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p>
<p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p>
<h4>Role overview</h4>
<p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p>
<h4>Requirements</h4>
<ul>
<li>Develop and train computer vision models for image and video analysis.</li>
<li>Implement solutions for object detection, image classification, segmentation, and tracking.</li>
<li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li>
<li>Optimize models for GPU performance, inference speed, and scalability.</li>
<li>Deploy AI models into production using APIs and containerized services.</li>
<li>Integrate computer vision models with broader AI and analytics platforms.</li>
<li>Collaborate with software engineers, data scientists, and product teams.</li>
<li>Maintain documentation and ensure code quality and reproducibility.</li>
</ul>
<h4>Required skills & qualifications</h4>
<ul>
<li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li>
<li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li>
<li>Strong knowledge of computer vision concepts and algorithms.</li>
<li>Practical experience with CNN-based models and modern computer vision architectures.</li>
<li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li>
<li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li>
<li>Understanding of model evaluation, metrics, and performance optimization.</li>
<li>Experience deploying models in cloud or on-premises environments.</li>
<li>Familiarity with Docker and basic MLOps practices.</li>
<li>Excellent English communication skills (written and spoken).</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Experience with video analytics or real-time inference.</li>
<li>Exposure to vision transformers or multimodal AI.</li>
<li>Experience with GPU-based training and inference.</li>
<li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li>
<li>Background in domains such as healthcare, smart cities, or industrial AI.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Work on practical, production-grade computer vision solutions.</li>
<li>Access to GPU infrastructure and modern AI tooling.</li>
<li>Collaborative, engineering-focused work environment.</li>
<li>Opportunities for growth and advanced AI exposure.</li>
<li>Competitive compensation package.</li>
</ul></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 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 5+ 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 paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
<p>The Senior Software Engineer designs, develops, implements, and supports secure, scalable, and high-quality software solutions that enable the Bank's digital products and technology services. He/She leads the delivery of complex software initiatives, establishes engineering best practices, ensures operational excellence, and collaborates with cross-functional teams to deliver reliable, maintainable, and high-performing technology solutions.The Senior Software Engineer promotes engineering excellence by driving software quality, automation, technical innovation, secure development practices, and continuous improvement while mentoring engineers and contributing to the Bank's technology transformation initiatives. Key Accountabilities: Mentors and coaches software engineers through technical guidance, knowledge sharing, design reviews, and continuous professional development. Drives continuous improvement by identifying opportunities to optimize software architecture, development processes, automation, operational efficiency, and technology practices. Maintains technical documentation, development standards, operational procedures, and knowledge repositories to support sustainable application lifecycle management. Ensures compliance with the Bank's technology policies, information security standards, regulatory requirements, and software engineering governance frameworks. Performs any other responsibilities consistent with the scope of the role, as assigned by the line manager.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent practical experience may be considered.</li><li>Minimum of 6 years of professional software engineering experience, including experience designing, developing, and supporting production-grade applications and services.</li><li>Demonstrated experience delivering scalable enterprise software solutions across the full software development lifecycle.</li><li>Strong experience with one or more modern programming languages such as Python, Java, Go, TypeScript, Dart, or similar technologies.</li><li>Experience developing and supporting RESTful APIs, microservices, distributed applications, and modern software architecture.</li><li>Experience with relational databases, data modelling, API integration, application performance optimization, and cloud-native application development.</li><li>Experience with CI/CD pipelines, DevOps practices, containerization technologies, Infrastructure as Code (IaC), and cloud platforms such as OCI, AWS, Azure, or Google Cloud.</li><li>Knowledge of software engineering best practices including version control, automated testing, secure coding, code reviews, and release management.</li><li>Experience developing or supporting Artificial Intelligence, machine learning, or intelligent automation solutions is preferred.</li></ul>
<p>The Senior Software Engineer designs, develops, implements, and supports secure, scalable, and high-quality software solutions that enable the Bank's digital products and technology services. He/She leads the delivery of complex software initiatives, establishes engineering best practices, ensures operational excellence, and collaborates with cross-functional teams to deliver reliable, maintainable, and high-performing technology solutions.The Senior Software Engineer promotes engineering excellence by driving software quality, automation, technical innovation, secure development practices, and continuous improvement while mentoring engineers and contributing to the Bank's technology transformation initiatives. Key Accountabilities: Mentors and coaches software engineers through technical guidance, knowledge sharing, design reviews, and continuous professional development. Drives continuous improvement by identifying opportunities to optimize software architecture, development processes, automation, operational efficiency, and technology practices. Maintains technical documentation, development standards, operational procedures, and knowledge repositories to support sustainable application lifecycle management. Ensures compliance with the Bank's technology policies, information security standards, regulatory requirements, and software engineering governance frameworks. Performs any other responsibilities consistent with the scope of the role, as assigned by the line manager.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent practical experience may be considered. Minimum of 6 years of professional software engineering experience, including experience designing, developing, and supporting production-grade applications and services. Demonstrated experience delivering scalable enterprise software solutions across the full software development lifecycle. Strong experience with one or more modern programming languages such as Python, Java, Go, TypeScript, Dart, or similar technologies. Experience developing and supporting RESTful APIs, microservices, distributed applications, and modern software architecture. Experience with relational databases, data modelling, API integration, application performance optimization, and cloud-native application development. Experience with CI/CD pipelines, DevOps practices, containerization technologies, Infrastructure as Code (IaC), and cloud platforms such as OCI, AWS, Azure, or Google Cloud. Knowledge of software engineering best practices including version control, automated testing, secure coding, code reviews, and release management. Experience developing or supporting Artificial Intelligence, machine learning, or intelligent automation solutions is preferred.</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 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 5+ 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 paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li>Develop and customize Odoo modules to meet specific business needs, ensuring seamless integration with existing systems.</li><li>Collaborate with cross-functional teams to gather requirements and translate them into functional specifications for Odoo applications.</li><li>Implement data migration strategies to ensure smooth transitions between systems while preserving data integrity.</li><li>Conduct thorough testing of Odoo applications, identifying and resolving bugs or issues to maintain high-quality standards.</li><li>Provide ongoing technical support and training to end-users to enhance their understanding and effective use of Odoo.</li><li>Create and maintain detailed documentation for custom modules and integrations, facilitating knowledge transfer within the team.</li><li>Optimize Odoo performance through code review and implementing best practices in development and deployment.</li><li>Stay updated on the latest Odoo releases and features, actively participating in community forums to share insights and solutions.</li><li>Assist in the deployment of Odoo in cloud environments, configuring instances to match organizational requirements.</li><li>Participate in agile development processes, contributing to sprint planning, reviews, and retrospectives to improve team efficiency.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or related field, ensuring a solid foundational knowledge in programming and systems analysis.</li><li>At least 3 years of hands-on experience with Odoo development and customization, showcasing a track record of successful project implementations.</li><li>Proven expertise in Python programming and PostgreSQL database management, essential for effective Odoo module development.</li><li>Familiarity with front-end technologies such as JavaScript, HTML, and CSS, enabling comprehensive development of user interfaces.</li><li>Experience with version control systems like Git, highlighting the importance of collaborative coding practices.</li><li>Strong problem-solving abilities with a keen attention to detail, ensuring high-quality deliverables and timely project completion.</li><li>Excellent communication skills in English, both written and verbal, facilitating effective collaboration with team members and stakeholders.</li><li>Certifications in Odoo development or related platforms, demonstrating commitment to professional growth and industry standards.</li><li>A proactive approach to learning and adapting to new technologies, ensuring the ability to leverage emerging trends in Odoo development.</li></ul><p></p></section>
Ingénieur Informatique - Intelligence Artificielle, Data & Développement Logiciel
Information Technology
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Alternance Ingénieur Informatique - Intelligence Artificielle, Data & Développement Logiciel F/H</p><br><br><p>Alternance</p><br><br><p>3 ans</p><br><br><p>Etudiant</p><br><br><p>Temps partiel</p><br><br><p>Développement de solutions logicielles<br>• Concevoir, développer et maintenir des applications internes ou clients.<br>• Participer au développement backend, frontend ou full stack selon les besoins projets.<br>• Mettre en place des API, bases de données et interfaces utilisateurs.<br>• Contribuer à l'industrialisation du code : tests, documentation, versioning Git et bonnes pratiques de développement.<br>Intelligence artificielle et Machine Learning<br>• Identifier les cas d'usage IA pertinents pour l'entreprise ou ses clients.<br>• Participer à la collecte, au nettoyage et à la structuration de données.<br>• Développer ou intégrer des modèles d'IA / Machine Learning : classification, extraction d'information, recommandation, analyse documentaire ou automatisation de tâches.<br>• Tester, évaluer et améliorer les performances des modèles.<br>• Étudier l'intégration d'outils d'IA générative, de traitement automatique du langage, d'OCR ou d'analyse de documents.<br>Data, automatisation et outils internes<br>• Créer des scripts ou outils d'automatisation pour améliorer les processus métiers.<br>• Exploiter des données issues de fichiers, bases de données, documents PDF ou sources internes.<br>• Participer à la mise en place de tableaux de bord ou d'outils d'aide à la décision.<br>• Veiller à la qualité, la fiabilité et la traçabilité des données traitées.<br>DevOps, sécurité et qualité logicielle<br>• Participer à la mise en place de bonnes pratiques DevOps : intégration continue, déploiement, documentation technique.<br>• Appliquer les principes de développement sécurisé.<br>• Contribuer à la gestion des environnements de développement, test et production.<br>• Participer à la veille technologique sur l'IA, la cybersécurité, le cloud et les architectures logicielles.<br>Gestion de projet et communication<br>• Participer aux réunions de suivi projet.<br>• Rédiger des documents techniques et fonctionnels.<br>• Présenter régulièrement l'avancement des travaux au tuteur entreprise.<br>• Travailler en méthode agile ou en mode projet selon l'organisation interne.</p><br><br><p>Exemples de projets possibles<br>• Développement d'un outil interne d'analyse automatique de documents.<br>• Création d'un assistant IA pour aider à la recherche d'informations ou à la rédaction.<br>• Mise en place d'un système d'extraction de données depuis des PDF, formulaires ou bases documentaires.<br>• Développement d'une application web intégrant des fonctionnalités IA.<br>• Création d'un moteur de recommandation ou de qualification automatique de données.<br>• Automatisation de processus métiers à l'aide de scripts Python et d'outils IA.<br>• Prototype utilisant des modèles de langage, OCR, NLP ou Machine Learning.</p><br><br><p>Étudiant-e intégrant un cycle ingénieur informatique par apprentissage, avec un intérêt fort pour l'intelligence artificielle, le développement logiciel, la data, l'automatisation, les nouvelles technologies et la transformation numérique des organisations.<br>Qualités attendues<br>• Autonomie progressive et capacité à apprendre rapidement.<br>• Curiosité technique et goût pour l'expérimentation.<br>• Rigueur dans le développement, les tests et la documentation.<br>• Capacité d'analyse et de synthèse.<br>• Esprit d'équipe et communication claire avec des interlocuteurs techniques et non techniques.<br>• Capacité à gérer les contraintes de l'alternance : organisation du temps, priorisation et régularité.</p><br><br><br> </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>
<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>
<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>