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ai engineer

Tarjama&

<div><p><b>Job Purpose</b></p><p>
The AI Engineer builds production-grade AI systems including RAG pipelines, fine-tuned models, prompt engineering, model evaluation, and scalable pipelines for enterprise deployment.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
AI System Development</b></p><ul><li>Build and maintain production AI pipelines and supporting infrastructure.</li><li>Develop RAG systems, embeddings pipelines, and context-engineering layers.</li><li>Implement scalable model-serving, orchestration, and automation processes.</li></ul><p><b>
Model Engineering &amp; Optimization</b></p><ul><li>Perform model selection, fine-tuning, and optimization for various use cases.</li><li>Conduct advanced prompt engineering for LLM-based systems.</li><li>Run model experiments, diagnostics, and performance tuning.</li></ul><p><b>
Evaluation &amp; Quality Assurance</b></p><ul><li>Develop evaluation datasets and rigorous testing frameworks.</li><li>Validate model quality, accuracy, and consistency through experimentation.</li><li>Ensure models meet production-level reliability and performance standards.</li></ul><p><b>
Deployment &amp; Operations</b></p><ul><li>Collaborate with DevOps/MLOps teams to deploy and maintain AI models.</li><li>Implement monitoring, observability, and error-handling mechanisms.</li><li>Ensure scalability, operational efficiency, and compliance.</li></ul><p></p><p><b>
Qualifications &amp; Requirements</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, AI/ML, Data Science, Software Engineering, or related field.</li><li>(4&ndash;7) years of experience in AI/ML engineering, applied machine learning, or similar roles.</li><li>Hands-on experience building production AI pipelines.</li><li>Strong Python skills and familiarity with ML frameworks (TensorFlow, PyTorch, etc.).</li><li>Knowledge of vector databases, RAG frameworks, and LLM orchestration.</li><li>Experience with CI/CD, MLOps, cloud environments, and scalable infrastructure.</li><li>Experience with LLM fine-tuning, evaluation, and advanced prompt engineering.</li><li>Experience in enterprise or government-level AI deployments.</li></ul></div>

AI Engineer

Enerflex

<div><div><div><div><div><b>Business Unit: </b>Eastern Hemisphere
</div></div></div></div><div><div><div><div><b>Location:
</b>Abu Dhabi, AE
</div></div></div></div><div><div><div><div><b>Travel: </b>Up to 25%
</div></div></div></div><div><div><div><div><b>Req ID: </b>3376
</div></div></div></div><div><div><div><div><p>AI Engineer- Asset Management
</p></div></div></div></div><div><div><div><div><div><div><div><div><b>Summary</b></div>
</div><div><div>
We are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies&mdash;including LLMs (Large Language Models) and SLMs (Small Language Models)&mdash;to real-world industrial challenges.</div></div></div><div><div><div><b>
Principle Responsibilities and Duties</b></div>
</div><div><ul><li>Design, develop, and deploy AI applications to support:</li>
<ul><li>Predictive and preventive maintenance</li>
<li>Asset life extension strategies</li>
<li>Operational cost reduction</li>
<li>Equipment safety and reliability</li>
</ul><li>Leverage LLMs/SLMs for intelligent automation and decision support</li>
<li>Collaborate with cross-functional teams to identify AI opportunities</li>
<li>Work within Azure cloud environments and integrate with Microsoft Copilot tools</li>
<li>Ensure all work complies with company policies, procedures, and confidentiality standards</li>
<li>Provide structured, timely updates and reports on project progress</li>
<li>Explore and evaluate emerging AI technologies and methodologies</li>
<li>Demonstrate flexibility in adapting to evolving project needs and priorities</li>
</ul></div></div><div><div><div><b>Qualifications</b></div>
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments</li>
<li>Proficiency in programming languages such as Python, R, or similar</li>
<li>Experience working with Azure cloud services and AI tools</li>
<li>Familiarity with Microsoft Copilot and its integration into enterprise workflows</li>
<li>Strong communication skills in English (written and verbal)</li>
<li>Ability to work independently while maintaining alignment with team goals</li>
<li>Willingness to travel internationally as required</li>
<li>Adherence to strict confidentiality and data protection standards</li>
<li>Structured reporting and documentation practices</li>
<li>Collaborative and proactive mindset</li>
<li>Commitment to continuous learning and innovation</li>
<li>
<div><b>Preferred Skills:</b></div>
</li>
<li>Experience with asset management systems or industrial operations in gas compression and gas processing industry</li>
<li>Knowledge of maintenance management frameworks (e.g., RCM, CBM)</li>
<li>Understanding of data governance, security, and compliance in AI applications</li>
<li>Ability to translate business needs into technical solutions</li>
</ul></div></div><div><div><div><b>Physical Requirements</b></div>
</div><div><ul><li>Remote work flexibility with a base in Abu Dhabi</li></ul></div></div></div><br>
<div></div>
<div><b>About Us:</b></div><br>
<div></div><div><b>Transforming Energy for a Sustainable Future.</b> Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.<br>
<br>
Enerflex places its core <b>Values of Integrity, Commitment, Creativity, and Success</b> into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.<br>
<br>
We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.</div><br>
<div></div>
<div><b>Enerflex is an Equal Opportunity Employer</b></div>
<div>Enerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.</div><br>
<div></div>
<div><b>Disclaimer</b></div>
<div>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.</div></div></div></div></div></div><p></p>

AI Engineer- Asset Management

Digital Corner for Network Solutions

<p><b>About</b></p><p>This opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a GenAI Engineer to build the backbone of our AI capabilities. You will focus on the infrastructure, integration, and engineering required to deploy robust Generative AI solutions, leveraging the Azure AI ecosystem.</p><p><b>Responsibilities</b></p><ul><li>Architect and implement secure, scalable infrastructure for Generative AI applications using Azure AI services.</li><li>Design and build Retrieval-Augmented Generation (RAG) pipelines to ground LLM responses in proprietary enterprise data.</li><li>Manage vector databases and embedding models to support efficient information retrieval.</li><li>Integrate LLM APIs with internal systems, databases, and third-party tools to create functional AI agents.</li><li>Implement guardrails and content filters to ensure AI compliance with corporate security and safety policies.</li><li>Optimize the performance and cost-efficiency of AI model calls and data processing pipelines.</li><li>Collaborate with DevOps teams to establish CI/CD workflows for AI applications.</li></ul><p><b>Requirements</b></p><ul><li><b>Experience:</b> 2&ndash;4 years.</li><li>Strong software engineering background with proficiency in Python and API development (REST/GraphQL).</li><li>Deep practical experience with Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks.</li><li>Experience with vector stores (e.g., Pinecone, Milvus, Azure AI Search).</li><li>Solid understanding of cloud infrastructure (Azure), security, and networking.</li><li>Ability to design microservices architectures for AI applications.</li></ul><p><b>Bonus</b></p><ul><li>Experience fine-tuning LLMs (PEFT, LoRA) for specific domain tasks.</li><li>Knowledge of containerization (Docker, Kubernetes).</li><li>Certification in Azure AI Engineering.</li></ul><p>Job Type: Full-time</p><p>Pay: AED10,000.00 - AED16,000.00 per month</p>

GenAI Engineer

<p><b>About</b></p><p>This opportunity is for a leading Energy &amp; Gas giant in the UAE. As a Prompt Engineer within the Generative AI stream, you will be pivotal in unlocking the full potential of Large Language Models (LLMs). You will focus on designing, refining, and optimizing inputs to ensure our AI solutions deliver accurate, safe, and high-value outputs for enterprise use cases.</p><p><b>Responsibilities</b></p><ul><li>Design, test, and refine complex prompts to optimize the performance of Large Language Models (LLMs) for specific business tasks.</li><li>Develop systematic approaches to prompt engineering, creating libraries of reusable prompts for various enterprise applications.</li><li>Collaborate with GenAI Developers to integrate optimized prompts into application workflows and chat interfaces.</li><li>Evaluate model outputs against ground truth data to identify hallucinations or inaccuracies and iterate on prompt strategies to mitigate them.</li><li>Work with domain experts to understand context and nuance, translating business needs into effective instruction sets for AI models.</li><li>Stay updated on the latest techniques in prompt engineering (e.g., Chain-of-Thought, Tree-of-Thought) and apply them to internal projects.</li><li>Monitor production model interactions to identify edge cases and continuously improve prompt robustness.</li></ul><p><b>Requirements</b></p><ul><li><b>Experience:</b> 2+ years.</li><li>Strong understanding of LLM capabilities, limitations, and parameters (temperature, tokens, etc.).</li><li>Experience with OpenAI APIs, Azure OpenAI Service, or similar platforms.</li><li>Proficiency in Python for scripting and data analysis to evaluate prompt performance.</li><li>Excellent linguistic skills and attention to detail, with the ability to craft precise and unambiguous instructions.</li><li>Understanding of AI safety and ethical considerations in prompt design.</li></ul><p><b>Bonus</b></p><ul><li>Experience with &quot;jailbreaking&quot; techniques (for defensive testing) and prompt injection security.</li><li>Knowledge of Arabic NLP and prompting for multi-lingual models.</li></ul><p>Job Type: Full-time</p><p>Pay: AED8,000.00 - AED12,000.00 per month</p>

Prompt Engineer

KATIM

<div>
 <strong>
  About KATIM
  <br/>
  <br/>
 </strong>
 KATIM is a leader in the development of innovative secure communication products and solutions for governments and businesses. As part of the Space &amp; Cyber Technologies cluster at EDGE, one of the world&rsquo;s leading advanced technology groups, KATIM delivers trust in a world where cyber risks are a constant threat, and fulfils the increasing demand for advanced cyber capabilities by delivering robust, secure, end-to-end solutions centered on four core business units: Networks, Ultra Secure Mobile Devices, Applications, and Satellite Communications. Our talented team of cross functional experts continually takes-on new challenges. We work with the energy of a start-up yet the discipline of a large business to make solutions and products work for our customers at scale.
 <br/>
 <br/>
 <strong>
  Job Purpose (specific To This Role)
  <br/>
  <br/>
 </strong>
 The Principal MLOps Engineer / AI Infrastructure Architect defines and leads the design, automation, and governance of KATIM&rsquo;s AI infrastructure powering mission-critical, secure communications products. This role drives end-to-end MLOps strategy &mdash; from model governance and deployment automation to compliance enforcement &mdash; ensuring every AI capability adheres to zero-trust and sovereign-data principles. This role bridges applied machine learning, software engineering, and DevSecOps &mdash; ensuring that AI models, pipelines, and applications are deployed, monitored, and scaled securely across environments.
 <br/>
 <br/>
 You will operate in an AI-augmented product development environment, where infrastructure provisioning, model training, deployment, and monitoring are automated or AI-assisted. Your mission is to build systems that empower product teams to deliver production-grade AI capabilities with the speed, reliability, and compliance standards required by government and enterprise clients.
 <br/>
 <br/>
 You will collaborate closely with cross-functional teams across platform engineering, product security, and product management to design MLOps pipelines that embody resilience, traceability, and zero-trust security principles. This role is ideal for engineers passionate about building intelligent automation frameworks, scalable AI pipelines, and secure data infrastructures that form the foundation of mission-critical AI systems.
 <br/>
 <br/>
 <strong>
  AI-Augmented Product Development Model (Context for the Role)
  <br/>
  <br/>
 </strong>
 We are a lean, AI-augmented product development team delivering production-ready, enterprise-grade secure applications with the quality and velocity typically requiring 3&ndash;4x larger organizations. Every role in the traditional SDLC is either AI-augmented or automated, allowing teams to focus on design, architecture, and high-impact decision-making.
 <br/>
 <br/>
 <strong>
  Core Principles
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Security is integrated into every decision, from architecture to deployment.
  </li>
  <li>
   Repetitive tasks are automated; human effort is focused on strategy and problem-solving.
  </li>
  <li>
   Quality is measurable, enforced, and automated at every stage.
  </li>
  <li>
   All system behaviors&mdash;including AI-assisted outputs&mdash;must be traceable, reviewable, and explainable. We do not ship &ldquo;black box&rdquo; functionality.
  </li>
  <li>
   Design and implementation decisions prioritize resilience, maintainability, and interoperability in real customer environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsiblities
  <br/>
  <br/>
 </strong>
 AI MLOps Architecture &amp; Governance (30%)
 <br/>
 <br/>
 <ul>
  <li>
   Define the MLOps architecture and governance framework across products.
  </li>
  <li>
   Design secure, scalable AI platform blueprints covering data, training, serving and monitoring layers.
  </li>
  <li>
   Standardize model registries, artifact signing, and deployment processes for air-gapped and on-prem environments.
  </li>
  <li>
   Lead architectural designs and reviews for AI pipelines.
  </li>
  <li>
   Design and maintain LLM inference infrastructure
  </li>
  <li>
   Manage model registries and versioning (MLflow, Weights &amp; Biases)
  </li>
  <li>
   Implement model serving solutions (TensorFlow Serving, TorchServe, vLLM)
  </li>
  <li>
   Optimize model performance and cost (quantization, caching, batching)
  </li>
  <li>
   Build and maintain vector databases (Pinecone, Weaviate, Chroma)
  </li>
  <li>
   Hardware and inference optimization awareness
   <br/>
   <br/>
  </li>
 </ul>
 Agent &amp; Tool Development (25%)
 <br/>
 <br/>
 <ul>
  <li>
   Develop and maintain AI agents for automation (e.g., automated test generation, log intelligence, and anomaly detection).
  </li>
  <li>
   Build AI-assisted DevSecOps utilities to automatically enforce compliance, logging, and audit policies.
  </li>
  <li>
   Build tool integrations for LLM agents (function calling, APIs)
  </li>
  <li>
   Implement retrieval-augmented generation (RAG) pipelines
  </li>
  <li>
   Create prompt management and versioning systems
  </li>
  <li>
   Monitor and optimize agent performance
   <br/>
   <br/>
  </li>
 </ul>
 CI/CT/CD Pipelines (20%)
 <br/>
 <br/>
 <ul>
  <li>
   Build continuous integration pipelines for models and code
  </li>
  <li>
   Implement continuous training (CT) workflows
  </li>
  <li>
   Automate model deployment with rollback capabilities
  </li>
  <li>
   Create staging and production deployment strategies
  </li>
  <li>
   Integrate AI-assisted code review into CI/CD
  </li>
  <li>
   Building a continuous evaluation loop
   <br/>
   <br/>
  </li>
 </ul>
 Infrastructure &amp; Automation (15%)
 <br/>
 <br/>
 <ul>
  <li>
   Manage cloud infrastructure (Kubernetes, serverless)
  </li>
  <li>
   Implement Infrastructure as Code (Terraform, Pulumi)
  </li>
  <li>
   Build monitoring and observability systems (Prometheus, Grafana, DataDog)
  </li>
  <li>
   Automate operational tasks with AI agents
  </li>
  <li>
   Ensure security and compliance (OWASP, SOC2) - AI-specific security
   <br/>
   <br/>
  </li>
 </ul>
 Developer Enablement (10%)
 <br/>
 <br/>
 <ul>
  <li>
   Provide tools and libraries for engineers to adopt AI-augmented workflows securely.
  </li>
  <li>
   Document AI/ML best practices and patterns
  </li>
  <li>
   Conduct training on MLOps tools and workflows
  </li>
  <li>
   Support engineers with AI integration challenges
  </li>
  <li>
   Maintain development environment parity
  </li>
  <li>
   AI Privacy, Governance, and Compliance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education and Minimum Qualification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS in Computer Science, Computer Engineering, Mathematics or related field, or equivalent experience in industry / Masters preferred.
  </li>
  <li>
   8+ years in DevOps, SRE, or platform engineering
  </li>
  <li>
   5+ years hands-on experience with ML/AI systems in production
  </li>
  <li>
   Deep understanding of LLMs and their operational requirements
  </li>
  <li>
   Experience building and maintaining CI/CD pipelines
  </li>
  <li>
   Strong Linux/Unix systems knowledge
  </li>
  <li>
   Cloud platform expertise (AWS, GCP, or Azure)
  </li>
  <li>
   Experience with container orchestration (Kubernetes)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Skills
  <br/>
  <br/>
 </strong>
 MLOps &amp; AI:
 <br/>
 <br/>
 <ul>
  <li>
   LLM Integration: OpenAI API, Anthropic API, HuggingFace, Azure OpenAI
  </li>
  <li>
   Model Serving: TensorFlow Serving, TorchServe, vLLM, Ollama
  </li>
  <li>
   Experiment Tracking: MLflow, Weights &amp; Biases, Neptune.ai
  </li>
  <li>
   Model Registries: MLflow, Kubeflow, AWS SageMaker
  </li>
  <li>
   Vector Databases: Pinecone, Weaviate, Chroma, Milvus
  </li>
  <li>
   Agent Frameworks: LangChain, LlamaIndex, AutoGPT, Semantic Kernel
  </li>
  <li>
   Fine-tuning: LoRA, QLoRA, prompt tuning
   <br/>
   <br/>
  </li>
 </ul>
 Data Engineering:
 <br/>
 <br/>
 <ul>
  <li>
   Pipelines: Airflow, Prefect, Dagster
  </li>
  <li>
   Processing: Spark, Dask, Ray
  </li>
  <li>
   Streaming: Kafka, Pulsar, Kinesis
  </li>
  <li>
   Data Quality: Great Expectations, dbt
  </li>
  <li>
   Feature Stores: Feast, Tecton
   <br/>
   <br/>
  </li>
 </ul>
 DevOps &amp; Infrastructure:
 <br/>
 <br/>
 <ul>
  <li>
   Containers: Docker, Kubernetes, Helm
  </li>
  <li>
   Cloud Platforms: AWS (SageMaker, Lambda, ECS) OR GCP (Vertex AI, Cloud Run) OR Azure (ML Studio)
  </li>
  <li>
   IaC: Terraform, Pulumi, CloudFormation
  </li>
  <li>
   CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD
  </li>
  <li>
   Orchestration: Kubernetes operators, Kubeflow
   <br/>
   <br/>
  </li>
 </ul>
 Monitoring &amp; Observability:
 <br/>
 <br/>
 <ul>
  <li>
   Metrics: Prometheus, Grafana, CloudWatch
  </li>
  <li>
   Logging: ELK Stack, Loki, CloudWatch Logs
  </li>
  <li>
   Tracing: Jaeger, Zipkin, OpenTelemetry
  </li>
  <li>
   Alerting: PagerDuty, Opsgenie
  </li>
  <li>
   Model Monitoring: Arize, Fiddler, Evidently
   <br/>
   <br/>
  </li>
 </ul>
 Programming:
 <br/>
 <br/>
 <ul>
  <li>
   Python: Primary language for ML/AI
  </li>
  <li>
   Libraries: NumPy, Pandas, PyTorch/TensorFlow, scikit-learn
  </li>
  <li>
   FastAPI, Flask for serving
  </li>
  <li>
   Go: For high-performance services and tooling
  </li>
  <li>
   Shell Scripting: Bash, Python for automation
  </li>
  <li>
   SQL: Advanced queries, optimization
   <br/>
   <br/>
  </li>
 </ul>
 AI-Assisted Operations:
 <br/>
 <br/>
 <ul>
  <li>
   Autonomous agents for incident response
  </li>
  <li>
   AI-powered log analysis and anomaly detection
  </li>
  <li>
   Automated root cause analysis
  </li>
  <li>
   Intelligent alerting and noise reduction
   <br/>
   <br/>
  </li>
 </ul>
 Other Highly Desirable Skills:
 <br/>
 <br/>
 <ul>
  <li>
   Experience with LLM fine-tuning and deployment at scale
  </li>
  <li>
   Background in data engineering or ML engineering
  </li>
  <li>
   Startup or high-growth environment experience
  </li>
  <li>
   Security certifications (CISSP, AWS Security)
  </li>
  <li>
   Contributions to open source MLOps projects
  </li>
  <li>
   Experience with multi-cloud or hybrid cloud
  </li>
  <li>
   Prior software engineering experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Success Metrics
  <br/>
  <br/>
 </strong>
 <li>
  Uptime: 99.9%+ availability for AI services
 </li>
 <li>
  Deployment Frequency: Daily or on-demand deployments
 </li>
 Model Performance: Latency (p95 &lt; 500ms), accuracy tracking
 <li>
  Cost Efficiency: Cost per inference, infrastructure utilization
 </li>
 <li>
  Developer Velocity: Time to deploy new models, AI feature adoption rate
 </li>
 <li>
  Incident Response: MTTD (Mean Time to Detect), MTTR (Mean Time to Resolve)
  <br/>
  <br/>
 </li>
 <strong>
  #KATIM
 </strong>
</div>


Principal Engineer - ML Ops

Capgemini

<div>
 <p>
  <strong>
   <u>
    About Capgemini
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Details :-
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Title: Software Engineer | Fresh Graduates | Emiratisation
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Dubai &amp; Abu Dhabi, UAE
 </p>
 <p>
  <strong>
   Mode
  </strong>
  : Contract to hire (6months extendable)
 </p>
 <p>
  <strong>
   Notice Period
  </strong>
  - Immediate Joiners
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role :-
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Capgemini Middle East is inviting passionate fresh graduates to join our dynamic team in Dubai, &amp; Abu Dhabi, UAE. This is a unique opportunity to launch your career in a global technology and consulting company that values innovation, learning, and impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Graduate Trainee, you will be part of a structured development program that introduces you to key areas such as:-
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Artificial Intelligence (AI)
   </strong>
  </li>
  <li>
   <strong>
    Data Science &amp; Research
   </strong>
  </li>
  <li>
   <strong>
    Software Engineering &amp; Development
   </strong>
  </li>
  <li>
   <strong>
    Project Management &amp; Business Analysis
   </strong>
  </li>
  <li>
   <strong>
    Consulting &amp; Digital Transformation
   </strong>
  </li>
  <li>
   <strong>
    Customer Experience &amp; Design Thinking
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who We&rsquo;re Looking For :-
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We welcome applications from recent graduates who are:-
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Holds a
   <strong>
    Bachelor&rsquo;s or Master&rsquo;s degree
   </strong>
   in
   <strong>
    Computer Science, Engineering, Data Science, Business
   </strong>
   , or a related field.
  </li>
  <li>
   Demonstrates a
   <strong>
    strong passion for technology and innovation
   </strong>
   , with a curious and driven mindset.
  </li>
  <li>
   Possesses
   <strong>
    excellent communication skills
   </strong>
   and thrives in collaborative environments and contribute to the UAE&rsquo;s vision for a knowledge-based economy.
  </li>
  <li>
   <strong>
    Fluent in English and Arabic
   </strong>
   , with
   <strong>
    Arabic speaking proficiency required
   </strong>
   .
  </li>
  <li>
   <strong>
    Available for immediate joining
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Gain:-
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Hands-on experience in emerging technologies and methodologies
  </li>
  <li>
   Exposure to AI, data platforms, cloud, and agile delivery models
  </li>
  <li>
   Career development through certifications and training
  </li>
  <li>
   Opportunities to contribute to national and regional transformation initiatives
  </li>
  <li>
   A diverse and inclusive workplace culture
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Capgemini is unique
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Capgemini we don&rsquo;t just believe in Diversity &amp; Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.
 </p>
 <p>
  We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Get the future you want
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses. And it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. And you&rsquo;ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is Capgemini.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Interested applicants can share their updated resume to kavita.jain@capgemini.com
 </p>
</div>


Software Engineer | Fresh Graduate | Emiratisation

Cyber Core for Information Technology

<p><b>Role Overview: </b></p><p>We are seeking a highly skilled AI Automation Software Developer to serve as a</p><p>Resident engineer at one of our client sites. The role involves implementing intelligent</p><p>automated projects and providing continuous support to ensure 24&times;7 operational</p><p>Excellence.</p><p><b>Responsibilities: </b></p><ul><li>Design, develop, and implement AI-driven automaEon workflows and</li></ul><p>OCR-based systems.</p><ul><li>Integrate RPA tools such as UiPath or Power Automate into exisEng</li></ul><p>Business environments.</p><ul><li>Provide onsite troubleshooting, testing, and optimization of automaton</li></ul><p>Processes.</p><ul><li>Collaborate with the client and internal teams to ensure successful Deployments.</li></ul><ul><li>Maintain technical documentation and deliver periodic progress reports.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or Equivalent.</li></ul><ul><li>3&ndash;6 years of hands-on experience in automaEon and AI environments.</li></ul><ul><li>Strong programming background (Python, PowerShell, JavaScript).</li></ul><ul><li>Familiarity with OCR, data extraction, and API integration.</li></ul><ul><li>Excellent interpersonal and communication skills.</li></ul><p><b>Benefits: </b></p><ul><li>Health insurance (basic + extended).</li></ul><ul><li>Performance-based bonus and competitive salary.</li></ul><ul><li>Supportive, innovative, and family-driven workplace culture</li></ul><p>Job Type: Full-time</p>

AI Automa-on SoKware Developer (Resident Engineer – Onsite Client )

Explore 489+ Ai engineer in Abu Dhabi United Arab Emirates this December. Find roles across top companies and apply now to boost your career.