Python Developer Jobs - Abu Dhabi UAE

<ul><li><p>Develop and support AI applications using <strong>Python, Generative AI, and Large Language Models (LLMs)</strong>.</p></li><li><p>Design, execute, and automate comprehensive <strong>AI test strategies</strong>&nbsp;across the AI application lifecycle.</p></li><li><p>Validate AI models, LLMs, AI agents, and agentic workflows for accuracy, consistency, reliability, and safety.</p></li><li><p>Perform <strong>functional, integration, regression, performance, security, and user acceptance testing</strong>&nbsp;for AI solutions.</p></li><li><p>Conduct <strong>LLM evaluation, prompt testing, hallucination testing, bias and fairness assessments, and guardrail validation</strong>.</p></li><li><p>Develop automated frameworks for testing AI agents, chatbots, copilots, and autonomous workflows.</p></li><li><p>Define and track AI quality metrics, benchmarks, and acceptance criteria.</p></li><li><p>Identify, analyze, and resolve defects related to AI outputs, workflows, and model behavior.</p></li><li><p>Collaborate with business stakeholders and development teams to ensure production-ready AI solutions for airline operations.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Strong programming expertise in <strong>Python</strong>.</p></li><li><p>Hands-on experience with <strong>LLMs, Generative AI, RAG architectures, Vector Databases, and AI Models</strong>.</p></li><li><p>Experience with AI frameworks such as <strong>LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Semantic Kernel</strong>.</p></li><li><p>Experience developing and testing <strong>AI Agents, Agentic AI solutions, Chatbots, and Conversational AI platforms</strong>.</p></li><li><p>Strong expertise in <strong>AI Testing</strong>, including:</p></li><li><p>LLM Evaluation & Validation</p></li><li><p>AI Agent Testing</p></li><li><p>Prompt Testing & Optimization</p></li><li><p>Hallucination Testing</p></li><li><p>Bias & Fairness Testing</p></li><li><p>Functional Testing</p></li><li><p>Integration Testing</p></li><li><p>Regression Testing</p></li><li><p>Performance & Load Testing</p></li><li><p>Security & Responsible AI Testing</p></li><li><p>Test Automation for AI Applications</p></li><li><p>Experience creating AI quality frameworks, test cases, evaluation datasets, and benchmarking methodologies.</p></li><li><p>Familiarity with Azure OpenAI, AWS AI, Google AI services, or equivalent platforms.</p></li></ul><br><p><strong>Domain Experience</strong></p><ul><li><p>Experience in the <strong>Airline, Aviation, Travel, or Transportation domain is required.</strong></p></li><li><p>Knowledge of airline operations, reservations, customer service, crew management, airport operations, or passenger experience solutions is an advantage.</p></li></ul><br><p><strong>Preferred Qualifications</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.</p></li><li><p>Certifications in AI, Machine Learning, Software Testing, or Cloud Technologies are preferred.<br><br></p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Lead the design and development of a scalable cloud FinOps platform, ensuring cost optimization and resource efficiency across all cloud environments.</li><li>Architect and implement full-stack solutions, from front-end user interfaces to back-end services, leveraging modern cloud technologies and best practices.</li><li>Develop and maintain FinOps dashboards and reporting tools, providing actionable insights into cloud spending, usage, and performance.</li><li>Collaborate with cross-functional teams, including engineering, finance, and operations, to define and implement FinOps strategies and initiatives.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Experience</p><p>10 -15 years</p><p>Skills -</p><p>Experience in working Full stack architecture</p><p>React JS, Python, Fast API as backend, Postgres SQL</p><p>Azure data factory - Backend data pipelines</p><p>TLS 1.2 or 1.3 implementation</p><p>SSO implementation</p><p>Lead the senior full stack developers</p><p>Design the Modules/ project and implement</p><p>Finops experience is a add on</p><p>Required Technical Qualifications</p><ul><li><p>12+ years of software engineering experience with 5+ years in principal or staff engineer roles</p></li><li><p>5+ years of experience with cloud platforms, preferably Azure with exposure to AWS and OCI</p></li><li><p>3+ years of experience with data engineering and lakehouse architectures</p></li><li><p>Proven track record of delivering enterprise-scale platforms from inception to production</p></li><li><p>Expert-level proficiency in React, Python, and TypeScript</p></li><li><p>Deep experience with Databricks, Delta Lake, and Spark</p></li><li><p>Strong knowledge of Azure services including AKS, ADLS Gen2, Event Hubs, Azure Functions, and API Management</p></li><li><p>Proficiency in designing RESTful APIs and GraphQL services using FastAPI or similar frameworks</p></li><li><p>Strong understanding of CI/CD pipelines using Azure DevOps or GitHub Actions</p></li><li><p>Experience designing multi-cloud data integration solutions</p></li><li><p>Knowledge of FinOps principles and cloud cost management concepts</p></li><li><p>Understanding of enterprise security patterns including zero-trust architecture, private endpoints, and managed identities</p></li><li><p>Experience with event-driven architectures and streaming data platforms</p></li><li><p>Excellent communication skills with ability to present to technical and non-technical stakeholders</p></li><li><p>Strong problem-solving and decision-making abilities</p></li><li><p>Experience leading distributed engineering teams</p></li><li><p>Ability to balance technical excellence with business delivery timelines</p></li></ul></li></ul><p></p></section>

<p><strong><u>Job Description </u></strong></p><p>You will work in our Sustainable Energy and focus on technical expertise and managing Sustainable Energy Projects, primarily in the area of power sector planning and modelling but also in the area of policy, financing and regulation.</p><p>Your main tasks will be:</p><ul><li>Provision of technical expertise in the area of demand/load modelling/forecasting and generation expansion planning model; our focus is on the impact of renewable, but we consider also other technologies.</li><li>Project Management</li><li>Technical proposal elaboration</li></ul><p><strong><u>Skills,Experience and Education</u></strong></p><ul><li>University degree engineering or economics, ideally in both</li><li>Proven professional experience in studies and implementation of sustainable energy consultancy/advisory: ideally this shall include consultancy on demand/load forecasting or generation expansion planning modelling</li><li>Previous experience regulation, planning and financial assessment is appreciated</li><li>Some experience in MATLAB, Python or similar programming languages</li><li>Knowledge of of one or several of the following models: power generation analysis models (e.g. Markal/Times, Wasp, Message or EnergyPlan), Eviews, Plexos, BEM or other software</li><li>Ability to easily structure complex problems, translate into solvable software models and communicate results to stakeholders</li><li>Interest for energy policy and regulatory issues</li><li>Commercial awareness and good communication skills with a high degree of flexibility</li><li>Fluency in English; fluency in French would be an additional valued advantage.</li><li>Beside your technical skills, you are communicative, responsible, ready to travel abroad, and an advanced user of MS Office. You like to look for innovative solutions, to learn new technologies and to take up challenges.</li></ul>

<ul><li><p>Design, develop, enhance, and support applications on the <strong>SAS Platform</strong> and <strong>SAS Viya</strong>.&nbsp;</p></li><li><p>Configure, develop, and maintain <strong>SAS Anti-Money Laundering (AML) 7.2 and higher versions</strong>, including transaction monitoring scenarios, alert generation, workflows, and reporting.&nbsp;</p></li><li><p>Develop, optimize, and troubleshoot complex <strong>SQL queries</strong>, ETL processes, and data integration workflows.&nbsp;</p></li><li><p>Build automation scripts and utilities using <strong>Python</strong> to improve operational efficiency and reduce manual effort.&nbsp;</p></li><li><p>Analyze business, regulatory, and compliance requirements and translate them into technical solutions.&nbsp;</p></li><li><p>Perform unit testing, SIT support, defect resolution, production deployments, and post-implementation validation.&nbsp;</p></li><li><p>Collaborate with Compliance, Business, Data Warehouse, Infrastructure, DevOps, and Vendor teams throughout the project lifecycle.&nbsp;</p></li><li><p>Prepare technical documentation, solution designs, deployment guides, and implementation artifacts.&nbsp;</p></li><li><p>Troubleshoot production issues and perform performance tuning, code optimization, and root cause analysis.&nbsp;</p></li><li><p>Support change management, release management, and application governance activities.&nbsp;</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum <strong>5+ years of experience</strong> in software development, implementation, and application support.&nbsp;</p></li><li><p>Strong hands-on experience with <strong>SAS Platform</strong> and <strong>SAS Viya</strong>.&nbsp;</p></li><li><p>Proven experience in <strong>SAS Anti-Money Laundering (AML) Solutions (Version 7.2 and above)</strong>.&nbsp;</p></li><li><p>Strong programming skills in <strong>SAS, SQL, and Python</strong>.&nbsp;</p></li><li><p>Experience with data analysis, ETL development, data migration, and database design.&nbsp;</p></li><li><p>Sound understanding of <strong>AML concepts</strong>, transaction monitoring, sanctions screening, customer risk scoring, and regulatory compliance requirements.&nbsp;</p></li><li><p>Experience in debugging, troubleshooting, and performance optimization.&nbsp;</p></li><li><p>Strong analytical, problem-solving, and communication skills.&nbsp;</p></li><li><p>Ability to work independently and effectively within cross-functional teams.&nbsp;</p></li></ul><p><strong>Preferred Skills</strong>&nbsp;</p><ul><li><p>Experience in the <strong>Banking and Financial Services</strong> domain.&nbsp;</p></li><li><p>Knowledge of <strong>Oracle Database</strong>, performance tuning, and query optimization.&nbsp;</p></li><li><p>Experience with <strong>Linux/Unix</strong> environments.&nbsp;</p></li><li><p>Exposure to <strong>CI/CD pipelines</strong>, Git, and release management processes.&nbsp;</p></li><li><p>Familiarity with Agile delivery methodologies and DevOps practices.&nbsp;</p></li></ul><p><strong>Nice to Have</strong>&nbsp;</p><ul><li><p>Experience in <strong>SAS Model Manager</strong>, <strong>SAS Intelligent Decisioning</strong>, or other SAS Viya components.&nbsp;</p></li><li><p>Exposure to cloud platforms and containerized deployments.&nbsp;</p></li><li><p>Experience supporting audit, compliance, and regulatory initiatives in a banking environment.&nbsp;</p></li></ul><p>This role requires a strong <strong>technical background, excellent communication skills, and the ability to deliver high-quality AML solutions in a fast-paced banking and compliance environment</strong>.&nbsp;</p><p><strong>Skills</strong></p><p>SAS AML experience</p><p>Oracle DB</p><p>Unix/Linux</p>

<ul><li>Design and implement machine learning algorithms tailored to solve specific business challenges, ensuring they align with project goals.</li><li>Collaborate with data scientists and analysts to preprocess and analyze large datasets, deriving actionable insights for model improvement.</li><li>Optimize and fine-tune existing AI models to enhance performance and accuracy, using state-of-the-art techniques and tools.</li><li>Conduct thorough testing and validation of AI models, ensuring robustness and reliability before deployment in production environments.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks. Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI). LLM & Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques. ML Libraries & Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK). Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone. DevOps/MLOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights. Cloud Security & Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns. AI Ethics & Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems. KNOWLEDGE, SKILLS, & EXPERIENCE Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred. Minimum Experience: 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments. Mandatory hands-on experience with Microsoft Azure AI Services. Experience working with large-scale datasets and real-time enterprise data. Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>We’re seeking a hands-on QA Automation Engineer with deep expertise in Playwright (TypeScript / JavaScript) and API automation using tools like Rest Assured, Playwright, or Pytest, and programming proficiency in JavaScript / TypeScript, Java, or Python.</p><p>The ideal candidate will also have strong experience in framework design, performance, security, and AI-driven testing, collaborating closely with Product, Development, DevOps, SRE, and Business teams to deliver intelligent, scalable digital solutions.</p><p>Key Responsibilities</p><ul><li><p>Design and develop automation frameworks from scratch using Playwright, Rest Assured, or Pytest.</p></li><li><p>Build comprehensive API automation suites (REST / GraphQL) with schema validation and reusable components.</p></li><li><p>Implement AI-driven testing features such as self-healing locators, intelligent test generation, and predictive defect analytics.</p></li><li><p>Conduct performance testing using K6, Gatling, or JMeter, identifying bottlenecks and recommending optimizations.</p></li><li><p>Partner with DevSecOps and SRE to embed security and resilience checks within CI/CD pipelines.</p></li><li><p>Execute automation tests on cloud platforms (BrowserStack / LambdaTest) for cross-browser validation.</p></li><li><p>Integrate automation suites into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) to enable continuous validation.</p></li><li><p>Collaborate with Product, Dev, DevOps, and Business teams to define test strategies, quality gates, and acceptance criteria.</p></li><li><p>Generate detailed test dashboards and analytics reports for visibility and decision-making.</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum 5+ years of QA Automation experience with focus on Web &amp; API automation.</p></li><li><p>Strong hands-on experience with Playwright, Rest Assured, or Pytest for Web and API automation.</p></li><li><p>Programming proficiency in JavaScript / TypeScript, Java, or Python.</p></li><li><p>Should know how to test APIs using Postman or SoapUI for functional and quick validations.</p></li><li><p>Proven experience in designing and developing automation frameworks from scratch.</p></li><li><p>Solid understanding of API testing, JSON schema validation, and service mocking.</p></li><li><p>Exposure to AI-powered or self-healing automation frameworks.</p></li><li><p>Proficiency in performance testing (K6 / Gatling / JMeter).</p></li><li><p>Knowledge of application security testing and OWASP Top 10.</p></li><li><p>Familiarity with cloud execution farms (BrowserStack / LambdaTest).</p></li><li><p>Expertise in CI/CD integration and Dockerized environments.</p></li></ul><p>Preferred Qualifications</p><ul><li><p>Bachelor’s / Master’s degree in Computer Science, Engineering, or related field.</p></li><li><p>Experience in banking, fintech, or digital transformation projects.</p></li><li><p>Familiarity with AI/ML-based test analytics and quality insights.</p></li><li><p>Experience in analysing logs and metrics to identify root causes and resolve issues.</p></li><li><p>Excellent communication and cross-team collaboration skills.</p></li><li><p>Self-driven and ownership-oriented, able to work independently with minimal supervision.</p></li></ul><p></p></section>

<p>The Information Security Specialist is responsible for safeguarding the organization’s systems, data, and technology infrastructure by implementing and maintaining effective security controls and monitoring activities. This role supports the organization’s security and compliance objectives by identifying risks, responding to security incidents, and ensuring alignment with regulatory and industry standards.</p><p>• Monitor and respond to security incidents and alerts, supporting investigation, escalation, and resolution. • Maintain and implement security controls to protect systems, applications, and data against internal and external threats. • Perform security monitoring using SIEM and other security tools, analysing logs and events to identify potential threats and recommend remediation. • Support vulnerability management activities, including identifying, prioritising, and tracking remediation of security weaknesses. • Conduct security risk assessments and support internal and external security audits. • Ensure compliance with security standards and regulatory requirements, including PCI-DSS. • Implement and maintain Web Application Firewalls (WAF), DDoS protection, firewall technologies, and cloud-native security controls (e.g. Cloudflare, Akamai, Azure/AWS security services where applicable). • Support application security throughout the software development lifecycle, including static application security testing (SAST) using tools such as Veracode, Checkmarx, Trivy or similar. • Assist with container and cloud workload security, including Docker, Kubernetes and container image scanning. • Perform or support penetration testing, vulnerability assessments and security validation activities using industry-standard tools (e.g. Kali Linux, Burp Suite, OWASP methodologies). • Develop and maintain automation scripts using Python, PowerShell or Bash to improve security operations and monitoring. • Collaborate closely with Engineering, Infrastructure, DevOps and Compliance teams to embed security into development and operational processes. • Maintain security documentation, operational procedures and technical standards to support audit readiness and operational consistency.</p>

<p>The Information Security Specialist is responsible for safeguarding the organization’s systems, data, and technology infrastructure by implementing and maintaining effective security controls and monitoring activities. This role supports the organization’s security and compliance objectives by identifying risks, responding to security incidents, and ensuring alignment with regulatory and industry standards.</p><p>• Monitor and respond to security incidents and alerts, supporting investigation, escalation, and resolution. • Maintain and implement security controls to protect systems, applications, and data against internal and external threats. • Perform security monitoring using SIEM and other security tools, analysing logs and events to identify potential threats and recommend remediation. • Support vulnerability management activities, including identifying, prioritising, and tracking remediation of security weaknesses. • Conduct security risk assessments and support internal and external security audits. • Ensure compliance with security standards and regulatory requirements, including PCI-DSS. • Implement and maintain Web Application Firewalls (WAF), DDoS protection, firewall technologies, and cloud-native security controls (e.g. Cloudflare, Akamai, Azure/AWS security services where applicable). • Support application security throughout the software development lifecycle, including static application security testing (SAST) using tools such as Veracode, Checkmarx, Trivy or similar. • Assist with container and cloud workload security, including Docker, Kubernetes and container image scanning. • Perform or support penetration testing, vulnerability assessments and security validation activities using industry-standard tools (e.g. Kali Linux, Burp Suite, OWASP methodologies). • Develop and maintain automation scripts using Python, PowerShell or Bash to improve security operations and monitoring. • Collaborate closely with Engineering, Infrastructure, DevOps and Compliance teams to embed security into development and operational processes. • Maintain security documentation, operational procedures and technical standards to support audit readiness and operational consistency.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>The resources will support development and deployment of <strong>computer vision and video analytics solutions</strong> for CCTV use cases such as:</p><ul><li><p>Queue monitoring and wait-time estimation</p></li><li><p>Crowd and anomaly detection</p></li><li><p>Operational insights generation</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>We are specifically looking for profiles with:</p><ul><li><p>Strong experience in <strong>Computer Vision, Machine Learning, and Video Analytics</strong></p></li><li><p>Hands-on expertise in <strong>Python, TensorFlow, PyTorch, Scikit-learn</strong></p></li><li><p>Experience with <strong>object detection, tracking, and image processing</strong></p></li><li><p>Strong working knowledge of <strong>NVIDIA ecosystem (Jetson, TensorRT, DeepStream)</strong></p></li><li><p>Proven experience in <strong>edge deployment and on-prem AI environments</strong></p></li><li><p>Understanding of <strong>MLOps, model optimization, and monitoring</strong></p></li><li><p>Prior exposure to <strong>CCTV / surveillance analytics use cases</strong> (highly preferred)</p></li></ul></li></ul><p></p></section>

<ul><li><p><strong>1. Infrastructure Support & Environment Management</strong></p><ul><li><p>Set up and maintain <strong>compute infrastructure</strong>, including GPU-enabled environments.</p></li><li><p>Configure and manage <strong>Linux-based systems</strong> for development and production environments.</p></li><li><p>Provisioning and configuration of cloud and on-prem infrastructure.</p></li><li><p>Monitor system resources and assist in performance tuning and optimization.</p></li></ul><p><strong>2. Containerization & Deployment</strong></p><ul><li><p>Build and manage containerized applications using <strong>Docker</strong>.</p></li><li><p>Deploy and manage applications on <strong>Kubernetes clusters</strong> under guidance from senior engineers.</p></li><li><p>Creating deployment configurations, Helm charts, and environment setups.</p></li><li><p>Support scaling and orchestration of microservices and AI workloads.</p></li></ul><p><strong>3. CI/CD Pipeline Implementation</strong></p><ul><li><p>Develop and maintain <strong>CI/CD pipelines</strong> for application and AI model deployment.</p></li><li><p>Automate build, test, and deployment processes using tools like <strong>Azure DevOps, GitHub Actions, or Jenkins</strong>.</p></li><li><p>Ensure smooth promotion of code and models across environments (dev, test, prod).</p></li><li><p>Troubleshoot pipeline failures and deployment issues.</p></li></ul><p><strong>4. MLOps & AI Deployment Support</strong></p><ul><li><p>Deploying <strong>machine learning models and LLM-based services</strong>.</p></li><li><p>Integration of AI components into production systems.</p></li><li><p>Contribute to <strong>model versioning, monitoring, and lifecycle management</strong>.</p></li><li><p>Work with AI engineers to operationalize RAG pipelines and inference services.</p></li></ul><p><strong>5. Monitoring, Logging & Issue Resolution</strong></p><ul><li><p>Implement and maintain monitoring and logging solutions (e.g., <strong>Prometheus, Grafana, ELK</strong>).</p></li><li><p>Track application performance, system health, and availability.</p></li><li><p>Respond to incidents, troubleshoot issues, and escalate when required.</p></li><li><p>Assist in root cause analysis and continuous improvement.</p></li></ul><p><strong>6. Automation & Scripting</strong></p><ul><li><p>Write scripts (Python, Bash) to automate repetitive operational tasks.</p></li><li><p>Support Infrastructure as Code (IaC) initiatives using tools like <strong>Terraform or ARM templates</strong>.</p></li><li><p>Improve operational efficiency through automation and tooling.</p></li></ul><p><strong>7. Collaboration & Support</strong></p><ul><li><p>Work closely with <strong>Senior DevOps/MLOps Engineers, AI Engineers, and Development teams</strong>.</p></li><li><p>Support developers in environment setup, debugging, and deployment processes.</p></li><li><p>Follow DevOps and MLOps best practices and continuously improve operational workflows.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Science, Engineering, or related field.</p></li><li><p><strong>7+ years of experience</strong> in DevOps or platform engineering roles.</p></li><li><p>Basic to intermediate experience with <strong>Linux system administration</strong>.</p></li><li><p>Hands-on experience with <strong>Docker and containerization</strong>.</p></li><li><p>Familiarity with <strong>Kubernetes</strong> (deployment and basic management).</p></li><li><p>Experience with <strong>CI/CD tools</strong> (Azure DevOps, GitHub Actions, Jenkins, etc.).</p></li><li><p>Basic understanding of <strong>cloud platforms</strong> (Azure, AWS, or GCP).</p></li><li><p>Scripting skills in <strong>Python, Bash, or similar</strong>.</p></li><li><p>Understanding of <strong>version control systems (Git)</strong>.</p></li></ul><p><strong>Preferred Skills</strong></p><ul><li><p>Exposure to <strong>AI/ML model deployment and MLOps practices</strong>.</p></li><li><p>Familiarity with <strong>LLM deployment concepts and tools</strong>.</p></li><li><p>Basic knowledge of <strong>GPU environments and high-performance computing</strong>.</p></li><li><p>Experience with <strong>monitoring and logging tools</strong> (Prometheus, Grafana, ELK).</p></li><li><p>Knowledge of <strong>Infrastructure as Code (Terraform, ARM templates)</strong>.</p></li><li><p>Understanding of <strong>microservices architecture</strong>.</p></li></ul><p><strong>Key Performance Indicators (KPIs)</strong></p><ul><li><p>Deployment success rate and pipeline stability.</p></li><li><p>System uptime and availability.</p></li><li><p>Resolution time for incidents and issues.</p></li><li><p>Efficiency of CI/CD processes.</p></li><li><p>Infrastructure utilization and basic cost optimization.</p></li><li><p>Support effectiveness for development and AI teams.</p></li></ul><p><strong>Stakeholders & Reporting</strong></p><ul><li><p><strong>Reports to:</strong> Senior DevOps / MLOps Engineer / Platform Lead</p></li><li><p><strong>Key Stakeholders:</strong></p><ul><li><p>AI Engineers & Data Scientists</p></li><li><p>Backend & Frontend Developers</p></li><li><p>DevOps / Platform Team</p></li><li><p>QA & Release Management Teams</p></li></ul></li></ul>

<p>Candidates must have at least 5 years of professional experience in Software Engineering, Backend Engineering, AI Applications, Automation Engineering, or related technical roles, with proven hands-on experience in delivering production-grade systems.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum 5 years of professional experience in AI engineering, Full stack engineering, automation engineering, software engineering, or related fields.</p></li><li><p>Proven experience building and deploying production-grade AI applications, backend systems, agentic systems, or workflow automations.</p></li><li><p>Strong hands-on experience in designing AI workflow orchestration, reducing model hallucinations, and building scalable Agentic AI architectures.</p></li><li><p>Strong programming skills in Python and Node.js.</p></li><li><p>Solid hands-on backend development experience in building REST APIs, web services, system integrations, authentication flows, and scalable server-side applications.</p></li></ul>

<ul><li><p>he AI Engineer is responsible for developing, testing, and deploying AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and Agentic workflows. This role also includes the ability to deploy and run LLMs on local/on-premise servers, supporting secure and efficient AI solution delivery in enterprise environments. </p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Science, AI, Data Science, or related field. 2+ years of experience in AI/ML development. Strong programming skills in Python. Hands-on experience with: o Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow) o Basic NLP concepts Understanding of ML model lifecycle (training, evaluation, deployment). Familiarity with REST APIs and integration concepts. Experience with Git/version control.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>We are seeking a motivated Junior Software Developer to join our team in Kerala. In this role, you will contribute to the design, development, and maintenance of our software applications under the guidance of senior developers. You will collaborate with cross-functional teams to deliver high-quality solutions, enhance your technical skills, and support project delivery in a fast-paced environment.</p><br><strong>Responsibilities:</strong><br><ul><li>Write clean, efficient, and maintainable code according to specifications</li><li>Assist in the design and implementation of new features and modules</li><li>Debug, troubleshoot, and resolve software defects and issues</li><li>Participate in code reviews and contribute to team best practices</li><li>Collaborate with QA testers to ensure software quality and performance</li><li>Document code, processes, and updates for future reference</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>Bachelor’s degree in Computer Science, Information Technology, or related field</li><li>0-2 years of hands-on experience in software development</li><li>Proficiency in one or more programming languages (e.g., Java, Python, C#)</li><li>Basic understanding of data structures, algorithms, and software design principles</li><li>Familiarity with relational databases and SQL</li><li>Strong problem-solving skills and attention to detail</li><li>Good verbal and written communication skills</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Experience with version control systems (e.g., Git)</li><li>Familiarity with web frameworks or libraries (e.g., React, Angular, Spring)</li><li>Exposure to Agile/Scrum methodologies</li><li>Internship or project experience in a professional software development environment</li><li>Knowledge of cloud platforms (AWS, Azure, or Google Cloud)</li><li>Certifications in relevant technologies or courses in advanced software topics</li></ul><br></div></section>

<p>Are you passionate about Artificial Intelligence and ready to make an impact? We are looking for talented Emirati professionals to join our team in Abu Dhabi, UAE.</p><p><br><strong>Available Positions:</strong></p><ul><li><p>Machine Learning Engineer</p></li><li><p>Data Scientist</p></li><li><p>AI Software Developer</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, or a related field.</p></li><li><p>Completion of relevant AI/ML training programs or certifications, including platforms such as AWS Machine Learning, Azure AI, or Google AI, demonstrating applied knowledge and expertise.</p></li><li><p>Minimum 2 years of progressive experience working on AI/ML projects, including model development, deployment, and implementation within the technology sector or related industries.</p></li><li><p>Strong programming skills in Python, R, or Scala, with practical experience using AI frameworks such as TensorFlow, PyTorch, or scikit-learn.</p></li><li><p>Willing to work onsite in Abu Dhabi.</p></li></ul>

<ul><li>Design and implement end-to-end AI solutions, from data ingestion and preprocessing to model deployment and monitoring.</li><li>Develop and optimize machine learning algorithms and deep learning models for various applications, ensuring scalability and performance.</li><li>Build robust APIs and microservices to integrate AI models into existing software architectures and applications.</li><li>Create user-friendly interfaces and dashboards for interacting with AI systems and visualizing model outputs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>System design & architecture (microservices, agent-based systems)</p></li><li><p>REST API & gRPC integration</p></li><li><p>Python backend development</p></li><li><p>Kubernetes/AKS, Helm, progressive delivery (canary/blue-green)</p></li><li><p>Azure cloud services, APIM</p></li><li><p>Semantic Kernel / Microsoft Agent Framework (or similar agent orchestration frameworks) — good to have</p></li><li><p>SSE streaming & async job/task management</p></li><li><p>MongoDB / Cosmos DB</p></li><li><p>Logging, monitoring & observability (Dynatrace, OpenTelemetry — good to have)</p></li><li><p>CI/CD pipelines</p></li><li><p>JWT/OAuth2 authentication patterns</p></li></ul>

<ul><li><p>Install and commission <strong>IoT devices</strong> at customer sites <strong>(mounting, power, connectivity).</strong></p></li><li><p>Carry out routine maintenance visits — <strong>inspection, calibration, sensor and power checks</strong>.</p></li><li><p><strong>Troubleshoot device issues</strong> in the field: power, Wi-Fi/SIM connectivity, sensor faults.</p></li><li><p>Check <strong>device logs and data</strong> on the platform to spot and <strong>diagnose issues.</strong></p></li><li><p>Keep simple records of visits, faults fixed, and spare parts used.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>ITI, Diploma, or degree in Electronics, Electrical, or a related field (Electronics Engineering preferred).</p></li><li><p>1-3 years of experience or freshers with good learning attitude are encouraged.</p></li><li><p>Basic coding knowledge (Python, Arduino/C, or similar).</p></li><li><p>Familiarity with checking device/system logs is a plus.</p></li><li><p>Good communication skills in English.</p></li><li><p>Willing to travel to sites across the Emirate of Abu Dhabi.</p></li><li><p>UAE driving license preferred (added advantage).</p></li></ul>

<ul><li>Manage, support, and optimize the company’s Odoo ERP system.</li><li>Configure and maintain Odoo modules including HR, Finance, Accounting, Sales, Purchase, Inventory, and Manufacturing.</li><li>Analyze business processes and translate requirements into effective Odoo solutions.</li><li>Support system implementation, customization, upgrades, and integrations.</li><li>Troubleshoot system issues and provide timely technical and functional support.</li><li>Manage user access, permissions, workflows, and automated processes.</li><li>Prepare reports, dashboards, and system documentation.</li><li>Conduct user training and provide ongoing support.</li><li>Coordinate with internal departments and external Odoo developers/partners when required.</li><li>Ensure data accuracy, system reliability, and continuous process improvement.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong understanding of business processes and ERP systems.</li><li>Experience with Odoo configuration, implementation, and troubleshooting.</li><li>Knowledge of Odoo Finance, HR, Inventory, Purchase, Sales, and Manufacturing modules.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and coordination skills.</li><li>Good command of English; Arabic is an advantage.</li><li>Odoo certification or technical knowledge of Python, PostgreSQL, XML, or APIs.</li></ul>

<ul><li>Develop and optimize UAV flight-control algorithms.</li><li>Design and implement stabilization and navigation systems.</li><li>Develop advanced autonomous flight capabilities.</li><li>Implement sensor fusion and state-estimation algorithms.</li><li>Perform flight-controller tuning and optimize UAV flight performance.</li><li>Analyze flight-test data and improve control-system performance.</li><li>Collaborate with embedded software, avionics, and systems engineering teams.</li><li>Support system integration, testing, troubleshooting, and flight-test activities.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong knowledge of flight dynamics, control theory, navigation, and estimation.</li><li>Hands-on experience developing and tuning UAV flight-control systems.</li><li>Strong understanding of PID control, Kalman filtering, sensor fusion, and state estimation.</li><li>Experience with MATLAB/Simulink, Python, C/C++, or similar engineering tools.</li><li>Experience with autopilot/flight-control platforms and real-time embedded systems is highly desirable.</li><li>Strong analytical, problem-solving, and system-integration skills.</li><li>Experience with UAV flight testing and performance optimization is a strong advantage.</li><li>Excellent communication and leadership skills.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>● Deploy and operate autonomous robots on live construction sites </p><p>● Perform robot setup, calibration, and mission planning before deployment </p><p>● Use the Mission Control Panel to assign and execute autonomous missions </p><p>● Monitor robot performance during operations and troubleshoot issues </p><p>● Perform parameter tuning for navigation and perception systems </p><p>● Debug robotics software and hardware issues during field deployments </p><p>● Work with ROS2-based robotics stack </p><p>● Assist in customer demos, pilots, and on-site robot deployments </p><p>● Diagnose and resolve issues related to navigation, sensors, and communication </p><p>● Perform basic maintenance and system checks on robots </p><p>● Collaborate with robotics software and hardware teams to improve system performance</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>● Bachelor's degree in Engineering </p><p>● Familiarity with ROS2, Nav2 stack, RViZ, Gazebo, robot parameter tuning </p><p>● Worked with hardware communication protocols like CAN, UART, USB </p><p>● Debugging skills for robotics systems </p><p>● Comfortable working with Linux (Ubuntu) </p><p>● Coding skills like Python</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design, develop, and deploy scalable web and mobile applications for our B2B marketplace. Optimize platform performance, database architecture, and secure API integrations (payment gateways, logistics tracking, etc.). Ensure a responsive, modern, and user-friendly UI/UX design. Troubleshoot, debug, and continuously upgrade platform features during our market expansion. </p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Location &amp; Visa: Must currently reside in the UAE and possess a valid, ongoing residency visa. Experience: Minimum 2–3 years of proven experience in web and mobile app development (experience building e-commerce, SaaS, or multi-vendor marketplace platforms is highly preferred). Technical Skills: Proficiency in modern frameworks (e.g., React, Node.js, Flutter, React Native, Python, or similar tech stacks). Portfolio Requirement: You must attach/link a portfolio of your previous live work (active websites or published applications) with your application. Applications without proof of work will be automatically rejected. </p></li></ul><p></p></section>