planning engineer

estimation engineer

l1 engineer (onsite)

mep engineer

project engineer

ai platform engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The AI Platform Engineer helps design, build and maintain the on-premises AI Infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large-scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation.
The role requires deep Kubernetes and infrastructure automation experience to optimise performance, streamline deployments, and ensure reliability in an on-prem environment.
Requirements<ul>
<li>
Design, deploy, and manage on-premises Kubernetes clusters for AI and ML workloads.</li>
<li>Develop and maintain infrastructure-as-code using tools like Terraform, Helm, or Ansible</li>
<li>Build and optimise AI/ML pipelines and MLOps workflows for model training, deployment, and monitoring.</li>
<li>Collaborate with data science and engineering teams to deliver high-performance computing environments for large model training and inference.</li>
<li>Implement resource management, observability, and scaling strategies for GPU-based workloads.</li>
<li>Manage containerisation, networking, and storage solutions for AI workloads.</li>
<li>Ensure security, compliance, and reliability of the AI platform.</li>
<li>Automate operational processes and continuously improve platform efficiency.</li>
</ul>
What we need from you:<ul>
<li>
Proven experience managing Kubernetes clusters on-premises (not just cloud-managed solutions).</li>
<li>Experience working in a Consultancy capacity.</li>
<li>Strong background in container orchestration, CI/CD, and automation.</li>
<li>Proficiency in Linux administration, Docker, and networking fundamentals.</li>
<li>Hands-on experience with infrastructure-as-code (Terraform, Helm, Ansible, etc.).</li>
<li>Experience supporting AI/ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow).</li>
<li>Familiarity with GPU scheduling and resource management on Kubernetes.</li>
<li>Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.).</li>
<li>Strong scripting skills (Python, Bash, or Go).</li>
<li>Understanding of DevOps and MLOps best practices.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

AI Platform Engineer

Open Innovation AI

<div>
 
 
 Company Description
 
 
 
 
 
 
 Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 Are you passionate about building robust, scalable infrastructure that powers machine learning at scale? Join our team as a Software Engineer &ndash; ML Infrastructure and take part in developing high-performance systems that enable the training, deployment, and monitoring of cutting-edge ML models. From building datasets to supporting production workloads, your work will be critical to our AI capabilities.
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Experience in mentoring developers, providing guidance on best practices, and fostering a collaborative team environment
 </li>
 <li>
 Design and build services and infrastructure for training and fine-tuning large neural networks
 </li>
 <li>
 Develop tools for managing datasets, ensuring quality, consistency, and reproducibility
 </li>
 <li>
 Implement scalable and automated deployment systems for complex ML models
 </li>
 <li>
 Drive the full software development lifecycle&mdash;from design and implementation to CI/CD and monitoring
 </li>
 <li>
 Collaborate closely with ML engineers, data scientists, and platform teams to align infrastructure with business goals
 </li>
 <li>
 Write clean, maintainable, and well-tested code to ensure long-term sustainability
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Over 10 years of professional software development experience from which minimum 2-3 years of expertise with Python programming skills.
 </li>
 <li>
 
 Strong Python backend development skills, with at least two industrial projects in one or more of: C++ / Java / Go
 
 </li>
 <li>
 Solid understanding of Linux systems and networking fundamentals
 </li>
 <li>
 
 Deep knowledge of object-oriented programming, design patterns, algorithms, and data structures
 
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 
 Proficiency with containerization and orchestration technologies like Docker, Kubernetes, or OpenShift
 
 </li>
 <li>
 Familiarity with CI/CD tools such as GitLab and ArgoCD
 </li>
 <li>
 Experience monitoring production systems using metrics, logging, and alerting tools
 </li>
 <li>
 Preferred to have experience with Machine Learning
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field
 </li>
 </ul>
</div>

Lead Software Engineer Backend - Python

<div>About DeepLight AI: DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/ML Engineer to design, develop and implement machine learning models and AI-powered solutions for our enterprise clients. The successful candidate will work on complex data processing pipelines, model development, and performance optimisation across various business domains.
Key Responsibilities:<ul>
<li>Design and implement AI/ML models to solve complex business problems</li>
<li>Develop data processing pipelines for model training and deployment</li>
<li>Implement algorithm optimizations for performance improvement</li>
<li>Create prediction engines and pattern recognition systems</li>
<li>Tune models based on performance metrics and feedback</li>
<li>Test AI models for accuracy, bias, and robustness</li>
<li>Implement AI monitoring and logging mechanisms</li>
<li>Collaborate with data engineers and full-stack developers to integrate AI solutions</li>
<li>Provide technical expertise on AI/ML best practices and methodologies</li>
</ul>Requirements<ul>
<li>8+ years of experience in machine learning and AI development</li>
<li>Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, scikit-learn)</li>
<li>Experience with NLP, computer vision, or predictive analytics</li>
<li>Knowledge of data processing and feature engineering techniques</li>
<li>Experience with model deployment and production ML pipelines</li>
<li>Understanding of cloud platforms (AWS, Azure, or GCP)</li>
<li>Strong problem-solving skills and attention to detail</li>
<li>Experience with financial data or enterprise solutions a plus</li>
</ul>Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

AI / ML Engineer

AppliedAI

<div>
 
 
 About Us:
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services. We are seeking a skilled and dynamic Frontend Developer to join our team and help shape intuitive, powerful user experiences on our Opus platform.
 
 
 
 
 
 
 Position Overview:
 
 
 
 As a Full Stack / Backend Engineer, you will be responsible for designing and developing server-side logic, APIs, and backend systems using TypeScript, Node.js (NestJS), and Next.js. You will work closely with frontend developers, product managers, and data scientists to build scalable, secure, and maintainable software powering mission-critical workflows.
 
 
 
 
 
 The ideal candidate is passionate about clean architecture, performance, and backend scalability, with experience in full stack environments and a solid understanding of modern software practices.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Backend &amp; Full Stack Development
 
 
 <ul>
 <li>
 Build robust, secure APIs and backend services using NestJS and Node.js.
 </li>
 <li>
 Develop full stack features using TypeScript across both backend and frontend (Next.js).
 </li>
 <li>
 Architect and maintain scalable RESTful and GraphQL services.
 </li>
 <li>
 Work with databases (PostgreSQL, MongoDB) and caching layers (Redis).
 </li>
 <li>
 Optimize system performance and reliability.
 </li>
 </ul>
 
 
 
 
 
 Code Quality &amp; Architecture
 
 
 <ul>
 <li>
 Write clean, maintainable, and well-documented code.
 </li>
 <li>
 Implement unit, integration, and end-to-end tests to ensure code quality.
 </li>
 <li>
 Participate in code reviews and maintain coding standards.
 </li>
 <li>
 Follow SOLID principles, domain-driven design, and modular architecture practices.
 </li>
 <li>
 Refactor legacy systems and contribute to backend modernization efforts.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; DevOps
 
 
 <ul>
 <li>
 Work closely with frontend, DevOps, and ML teams to ship features end-to-end.
 </li>
 <li>
 Contribute to CI/CD pipelines and deployment automation.
 </li>
 <li>
 Ensure observability and traceability through proper logging and monitoring.
 </li>
 <li>
 Proactively communicate challenges and work collaboratively to resolve them.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning &amp; Innovation
 
 
 <ul>
 <li>
 Stay up to date with backend, infrastructure, and DevOps best practices.
 </li>
 <li>
 Explore emerging technologies and propose improvements.
 </li>
 <li>
 Take ownership of assigned features and see them through production deployment.
 </li>
 <li>
 Mentor junior engineers and share knowledge across the team.
 </li>
 </ul>
 <li>
 </li>
 
 
 Qualifications:
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in backend or full stack development using TypeScript and Node.js.
 </li>
 </ul>
 
 
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Proficient in TypeScript and Node.js, with experience in NestJS and Next.js.
 </li>
 <li>
 Experience with SQL (PostgreSQL) and NoSQL (MongoDB, Redis) databases.
 </li>
 <li>
 Knowledge of API design (REST, GraphQL) and best practices.
 </li>
 <li>
 Familiar with authentication (OAuth2, JWT), RBAC, and session management.
 </li>
 <li>
 Comfortable with Git, Docker, and CI/CD tools.
 </li>
 <li>
 Experience with unit/integration testing using Jest or similar frameworks.
 </li>
 <li>
 Exposure to AWS/GCP, Kubernetes, or container orchestration is a plus.
 </li>
 <li>
 Strong debugging and problem-solving skills.
 </li>
 <li>
 Comfortable working in a fast-paced agile environment.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Opportunity to work with a leading AI technology company.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Growing, entrepreneurial and forward-thinking culture.
 </li>
 <li>
 Career growth and professional development opportunities.
 </li>
 <li>
 Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
 </li>
 <li>
 21 days of paid annual leave.
 </li>
 <li>
 Comprehensive private health insurance.
 </li>
 <li>
 Visa sponsorship for international candidates.
 </li>
 </ul>
 
 
</div>

Back End Engineer

Healthsoft Middle East

Senior Data Engineer <ul><li>Should be proficient with SQL and Python</li><li>Should be proficient with Spark (preferably PySpark and Spark SQL)</li><li>Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL</li><li>Good to have experience in healthcare domain</li><li>Good to have Databricks or Azure certifications</li><li>Senior Devops Engineer (or Senior Platform Engineer)</li><li>Should be proficient with Azure Cloud</li><li>Should be proficient in administration for Azure Databricks</li><li>Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep)</li><li>Should be proficient with version control and CI&amp;CD using Azure Pipelines (or equivalent e.g., Github Actions)</li><li>Good to have experience with data engineering and analytics team</li><li>Good to have experience about Spark (how compute works, infra optimizations, performance improvements)</li><li>Good to have Databricks and Azure certification</li><li>Senior Data Modeler (or BI analyst with medallion data architecture design)</li><li>Should be proficient with SQL and Spark</li><li>Should have experience in data modeling and architecture (conceptual, logical, and physical data models) &mdash; dimensional modeling, relational modeling, etc.</li><li>Should have adept knowledge about healthcare domain</li><li>Should have excellent analytical skills for data analysis and profiling</li><li>Should have technical writing skills for model documentation and to use modelling tools</li><li>Good to have experience with metadata management and data governance</li><li>Minimum 10 years of experience in similar functional domain is required.</li></ul>Job Type: Full-time

Senior Data Engineer

Swedishtechnology

Position OverviewWe are seeking a motivated programming intern passionate about modern web and AI technologies. The intern will participate in developing web applications and AI-based solutions using React, MCP, and AI Buloid Now. You will work closely with the development team to design, implement, and optimize interactive applications powered by intelligent systems.Key ResponsibilitiesMobile Development: Design, develop, and maintain cross-platform mobile applications using React Native (iOS &amp; Android).Odoo Integration: Customize Odoo modules (focus on Inventory, Stock, and Logistics) and integrate them into mobile applications.Python Programming: Develop back-end logic, APIs, and connectors for Odoo using Python.Flutter Development: Contribute to Flutter-based projects as needed (support and enhancements).UI/UX Implementation: Ensure mobile apps are responsive, intuitive, and follow modern UI/UX practices.API &amp; Database: Design and consume RESTful APIs for mobile-Odoo integration.Deployment &amp; Maintenance: Manage builds, updates, and bug fixes for multiple mobile applications.Collaboration: Work closely with ERP consultants, backend developers, and project managers to align mobile solutions with business needs.Required Skills &amp; QualificationsEducation: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.Experience: Minimum of 10 mobile applications successfully delivered (App Store/Google Play or enterprise deployment).Technical Expertise:Strong React Native development experience.Odoo module customization and integration (Inventory/Stock mandatory).Solid Python development background.Basic working knowledge of Flutter.API development and integration (REST/GraphQL).Database understanding (PostgreSQL preferred).Other Skills:Strong problem-solving and debugging skills.Ability to work with Agile/Scrum methodologies.Familiarity with Git and CI/CD pipelines.ross-functional team.Contract TermsLocation: Flexible (onsite/remote hybrid as per project needs).Duration: 12 months (extendable).Workload: Full-time, 5 days per week.Job Type: Full-timeAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Programming : 1 year (Preferred)</li><li>do you have React: 1 year (Preferred)</li></ul>Language:<ul><li>Are speak Arabic and English (Preferred)</li></ul>License/Certification:<ul><li>driving License (Preferred)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>

React and AI internship Developer

CloudJune Technologies LLC

Job SummaryAs a Senior Data Engineer, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.What You'll Do:&#9679; Design, build, and maintain scalable and reliable data pipelines for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).&#9679; Architect and implement data warehousing and data lake solutions on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.&#9679; Develop and optimize ETL/ELT processes using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.&#9679; Implement and manage data governance policies and procedures, ensuring data security, compliance with government regulations, and adherence to data quality standards.&#9679; Collaborate with Data Scientists and AI Engineers to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.&#9679; Work closely with AIOps/MLOps Engineers to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.&#9679; Design and implement data monitoring and alerting systems to proactively identify and resolve data quality issues and pipeline failures.&#9679; Optimize data storage and retrieval systems for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).&#9679; Implement data security measures including access control, encryption, and data masking to protect sensitive government data.&#9679; Develop and maintain data catalogs and data lineage solutions to ensure data discoverability, understand data flow, and facilitate data governance.&#9679; Evaluate and adopt new data engineering tools and technologies to continuously improve our data infrastructure and processes.&#9679; Troubleshoot and resolve data-related issues across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.&#9679; Document data pipelines, data models, and data engineering processes clearly and concisely for both technical and non-technical stakeholders.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).&#9679; Strong proficiency in SQL and experience with various database systems, including:&#9675; Relational Databases: (e.g., PostgreSQL, SQL Server, Azure SQL Database).&#9675; NoSQL Databases: (e.g., MongoDB, Cassandra, Azure Cosmos DB).&#9675; Vector Databases: (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).&#9675; Graph Databases: (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.&#9679; Experience with data governance frameworks, data quality management, and data security principles.&#9679; Experience with data monitoring and alerting tools.&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.Bonus Points For:&#9679; Experience with data virtualization technologies.&#9679; Experience with building real-time data pipelines.&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).&#9679; Experience with implementing data mesh concepts.&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.&#9679; Certifications in relevant cloud platforms or data engineering technologies.&#9679; Experience working with government data regulations and compliance standards.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Explore 177+ Ai platform engineer in Abu Dhabi this October. Find roles across top companies and apply now to boost your career.

177 ai platform engineer jobs IN Abu Dhabi

AI Platform Engineer

Lead Software Engineer Backend - Python

AI / ML Engineer

Back End Engineer

Senior Data Engineer

React and AI internship Developer

Senior Data Engineer