planning engineer

electrical engineer

civil engineer

project engineer

graduate engineer

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

Deeplight AI

<div>
 <strong>
  DeepLight AI
 </strong>
 is a specialist consultancy implementing intelligent enterprise systems, with deep expertise in financial services and banking. We are seeking a
 <strong>
  Generative AI Engineer
 </strong>
 to join our team, focusing on turning advanced research into high-impact, production-ready enterprise solutions.
 <br/>
 <br/>
 You won't just train models; you will
 <strong>
  design, build, and own the entire lifecycle of AI systems
 </strong>
 that leverage Large Language Models (LLMs), RAG, and Multimodal AI to solve our clients' most complex problems.
 <br/>
 <br/>
 <strong>
  The Challenge: Owning the LLM Production Pipeline
  <br/>
  <br/>
 </strong>
 This role demands a unique combination of applied machine learning, data engineering, and scalable software delivery, operating entirely within a robust
 <strong>
  MLOps/LLMOps framework
 </strong>
 .
 <br/>
 <br/>
 <strong>
  🛠️ What You Will Be Doing (Key Responsibilities):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design &amp; Deliver GenAI Solutions: Leading the implementation of LLM-based applications, including custom chatbots, advanced summarization services, and creative co-pilots
  </li>
  <li>
   Model Optimization &amp; Steering: Applying cutting-edge techniques like fine-tuning, LoRA/PEFT, and RLHF to optimize model performance and ensure factual accuracy
  </li>
  <li>
   RAG System Architecture: Architecting and building high-performance Retrieval-Augmented Generation (RAG) pipelines, managing the full lifecycle of embeddings and context-aware retrieval
  </li>
  <li>
   Production Code: Writing robust, deployment-ready software in Python and TypeScript, delivering clean, modular code
  </li>
  <li>
   MLOps Automation: Implementing full LLMOps/MLOps using Docker, Kubernetes, and Terraform to automate CI/CD, deployment, and versioning across major cloud platforms (AWS/GCP/Azure)
  </li>
  <li>
   Data Grounding: Ensuring model intelligence is fresh and reliable by connecting to Airflow, dbt, and Kafka pipelines
  </li>
  <li>
   Governance &amp; Safety: Embedding responsible AI practices, including hallucination control, bias mitigation, and auditability, into every deployed system
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep knowledge of transformers, diffusion models, and advanced prompt engineering
  </li>
  <li>
   Proven expertise in embeddings, vector databases, and designing context-aware retrieval pipelines
  </li>
  <li>
   Proficiency in Python, REST APIs, containerization, CI/CD, and model versioning
  </li>
  <li>
   Proficiency in Python and TypeScript; core ML development using PyTorch, TensorFlow, and the Hugging Face ecosystem
  </li>
  <li>
   Expertise with LangChain, LlamaIndex, and APIs from OpenAI/Anthropic
  </li>
  <li>
   Use of MLflow and Weights &amp; Biases for experiment tracking and versioning, leveraging platforms like Vertex AI or SageMaker
  </li>
  <li>
   Mastery of Docker, Kubernetes, and Terraform for scalable deployment across major clouds (AWS, GCP, Azure)
  </li>
  <li>
   Familiarity with Airflow, dbt, Postgres, and Kafka for data ingestion and transformation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-7 years in AI/ML, with a critical 1-3 years hands-on with LLMs or production GenAI applications
  </li>
  <li>
   Proven delivery of production-grade GenAI tools in agile, rapid-iteration environments
  </li>
  <li>
   BSc/MSc in Computer Science, Data Science, or a related technical field
  </li>
  <li>
   Experience with model evaluation, data privacy, and bias mitigation
  </li>
  <li>
   Hands-on experience with ChromaDB, Pinecone, Weaviate, and FAISS for retrieval and embedding management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits &amp; Growth Opportunities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary
  </li>
  <li>
   Comprehensive health insurance
  </li>
  <li>
   Ongoing professional development
  </li>
  <li>
   Opportunity to work on cutting-edge AI projects
  </li>
  <li>
   Flexible working arrangements
  </li>
  <li>
   Career advancement opportunities in a rapidly growing AI company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 <em>
  Please note: If you fail to meet the required criteria in the screening questions, your application will not be progressed
 </em>
</div>


GenAI Engineer

Discovered MENA

<div>
 <p>
  <strong>
   Senior Software Engineer - Python &amp; AI
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi
 </p>
 <p>
  <strong>
   Package:
  </strong>
  30,000 - 35,000 AED per month TAX FREE plus benefits
 </p>
 <p>
  <strong>
   Duration:
  </strong>
  Permanent
 </p>
 <p>
  <br/>
 </p>
 <p>
  I am currently partnered with a brilliant company committed to delivering cutting-edge solutions and enhancing user experiences for various sectors. Their mission is to empower teams with innovative technologies that optimise operations and facilitate efficient issue resolution.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently seeking a highly skilled and enthusiastic Software Engineer with expertise in Python &amp; AI to join the team in Abu Dhabi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <ul>
  <li>
   Conduct in-depth research, design, and development of advanced cellular communications solutions
  </li>
  <li>
   Design and implement systems based on cutting-edge methodologies such as Domain-Driven Design, Reactive Architecture, and Actor model.
  </li>
  <li>
   Develop and maintain CI/CD pipelines, perform comprehensive unit tests, integration tests, and end-to-end tests.
  </li>
  <li>
   Collaborate closely with a team of experienced developers, system architects, and product managers to deliver top-quality technical solutions.
  </li>
  <li>
   Contribute to crucial technological and architectural decisions.
  </li>
  <li>
   Work collaboratively in agile, multidisciplinary teams, embracing Agile principles, methodologies, and tools.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   Expertise in Python with a strong grasp of asynchronous programming and concurrency patterns.
  </li>
  <li>
   Experience building high-performance APIs, ideally using modern Python frameworks.
  </li>
  <li>
   Skilled in integrating and orchestrating LLM-based systems, including function-calling and local model setup.
  </li>
  <li>
   Practical understanding of prompt design and AI-driven workflow optimization.
  </li>
  <li>
   Hands-on experience with retrieval-augmented generation (RAG) concepts&mdash;such as text segmentation, embeddings, and vector databases (e.g., Milvus, FAISS, Pinecone).
  </li>
  <li>
   Proficient in data handling and validation using Python data frameworks and schema-based approaches.
  </li>
  <li>
   Comfortable working with real-time communication protocols (e.g., WebSockets, Server-Sent Events, gRPC, REST).
  </li>
  <li>
   Knowledge of containerization and deployment pipelines using Docker and CI/CD tools.
  </li>
  <li>
   Experience writing automated tests and maintaining high code quality with Python testing frameworks.
  </li>
  <li>
   Understanding of message-driven architectures and queueing systems (e.g., RabbitMQ).
  </li>
  <li>
   Awareness of GPU-accelerated environments and performance tuning for compute-intensive tasks.
  </li>
  <li>
   Strong command of the English language, both spoken and written (upper-intermediate level).
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Software Engineer

Avrioc Technologies

<div>
 <p>
  🎯
  <strong>
   We're Hiring: Senior Data Scientist / Machine Learning Engineer
  </strong>
 </p>
 <p>
  📍 Location: Abu dhabi
 </p>
 <p>
  📈 Experience: 5+ years
 </p>
 <p>
  🧠 Domain: AI, ML, Deep Learning, Predictive Analytics
 </p>
 <p>
  Are you passionate about turning data into powerful, real-world impact?
 </p>
 <p>
  At
  <strong>
   Avrioc Technologies
  </strong>
  , you&rsquo;ll work in a cross-functional team of engineers, data scientists, and product owners to design and deploy algorithms that touch millions of users.
 </p>
 <p>
  From concept to production, your work will
  <strong>
   shape the future of intelligent platforms.
  </strong>
  🚀
 </p>
 <p>
  🔬
  <strong>
   What You&rsquo;ll Work On:
  </strong>
 </p>
 <p>
  ✔️ Build and optimize ML &amp; Deep Learning models (classification, object detection, style transfer, forecasting)
 </p>
 <p>
  ✔️ Deploy models from notebooks to production pipelines
 </p>
 <p>
  ✔️ Work with
  <strong>
   PyTorch
  </strong>
  ,
  <strong>
   TensorFlow/Keras
  </strong>
  ,
  <strong>
   CUDA
  </strong>
  , and shell scripting
 </p>
 <p>
  ✔️ Implement scalable AI pipelines on
  <strong>
   AWS
  </strong>
  ,
  <strong>
   Azure
  </strong>
  , or
  <strong>
   GCP
  </strong>
 </p>
 <p>
  ✔️ Collaborate across teams to solve real-world product challenges
 </p>
 <p>
  ✔️ Analyze large-scale datasets and drive actionable insights
 </p>
 <p>
  ✔️ Work with ELK Stack, message brokers, and containerized environments
 </p>
 <p>
  📌
  <strong>
   You Should Have:
  </strong>
 </p>
 <p>
  ✅ MS in Statistics, Math, Data Analytics, or related field
 </p>
 <p>
  ✅ 5+ years in applied Data Science / ML roles
 </p>
 <p>
  ✅ Proficiency in Python, R, Scala, or SAS
 </p>
 <p>
  ✅ Experience with cloud-based ML deployment
 </p>
 <p>
  ✅ Deep knowledge of DL frameworks (PyTorch, TensorFlow)
 </p>
 <p>
  ✅ Hands-on with Linux, shell scripting, ELK, and message queues
 </p>
 <p>
  ✅ Strong communication and project planning skills
 </p>
 <p>
  🌟
  <strong>
   Nice to Have:
  </strong>
 </p>
 <p>
  ➕ Experience with media or customer data
 </p>
 <p>
  ➕ Agile/Scrum familiarity
 </p>
 <p>
  ➕ Presentation &amp; coaching skills
 </p>
 <p>
  💡
  <strong>
   Why Avrioc?
  </strong>
 </p>
 <p>
  We&rsquo;re not just building products &mdash; we&rsquo;re building solutions that learn, adapt, and scale.
 </p>
 <p>
  Here, you&rsquo;ll get:
 </p>
 <p>
  🔹 Autonomy
 </p>
 <p>
  🔹 Innovation-driven culture
 </p>
 <p>
  🔹 Global impact
 </p>
 <p>
  🔹 A team that supports and grows with you
 </p>
</div>


Data Scientist

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

Presight

<div>
 <strong>
  <strong>
   Overview:
   <br/>
   <br/>
  </strong>
 </strong>
 About Presight
 <br/>
 <br/>
 Presight is an ADX-listed public company with G42 (Abu Dhabi) as its majority shareholder and the region&rsquo;s leading big data analytics company powered by GenAI. We combine big data, advanced analytics, and AI to drive business and societal impact, helping public and private sector organizations realize their AI strategies faster.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We are seeking a Data Scientist with solid experience in applied machine learning and working knowledge of large language models (LLMs). This role involves contributing to the design and implementation of AI solutions that power intelligent applications such as natural language interfaces, search, and knowledge-driven tools. You will collaborate with senior scientists, engineers, and product managers to help deliver production-ready AI systems.
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Contribute to the design and development of AI Agent and Multi-Agent systems based on LLMs, supporting autonomous decision-making and task execution.
  </li>
  <li>
   Participate in prompt engineering tasks such as Chain of Thought, ReAct, and context management strategies.
  </li>
  <li>
   Support the development of agent tool interfaces, enabling integration with external systems and APIs.
  </li>
  <li>
   Work on RAG-based retrieval-augmented QA systems and apply domain-specific model improvements.
  </li>
  <li>
   Collaborate in building scalable frameworks for workflow, agent, and multi-agent coordination.
  </li>
  <li>
   Stay updated on the latest AI and LLM advancements and help apply them to enhance product features.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 Requirements:
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of hands-on experience in AI, machine learning, or intelligent agent system development.
  </li>
  <li>
   Familiarity with LLMs, VLMs, Generative AI, and agent system design.
  </li>
  <li>
   Has practical project experience in developing agent or multi-agent systems with integration to external systems or data sources.
  </li>
  <li>
   Understanding of reasoning models and Model Context Protocol (MCP).
  </li>
  <li>
   Knowledge of agent tools, retrieval-augmented generation (RAG), workflow orchestration, and prompt engineering techniques.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficient in Python with solid foundations in data structures and algorithms.
  </li>
  <li>
   Experience with backend frameworks (FastAPI or similar).
  </li>
  <li>
   Familiarity with deep learning frameworks such as PyTorch.
  </li>
  <li>
   Good understanding of machine learning algorithms and applied mathematics.
  </li>
  <li>
   Experience with containerization tools (Docker).
  </li>
  <li>
   Knowledge of relational and non-relational databases (e.g., PostgreSQL, Redis).
  </li>
  <li>
   Comfortable with Git and modern development workflows.
  </li>
  <li>
   Strong communication and collaboration skills in a team-oriented, agile environment.
  </li>
  <li>
   Specialize in leveraging AI tools (Cursor/Claude code/ copilots/ChatGPT) to accelerate efficiency, boost productivity, and deliver quick results.
  </li>
  <li>
   Curious, motivated, and eager to learn and grow while tackling technical challenges.
   <br/>
   <br/>
  </li>
 </ul>
 What Presight Offers
 <br/>
 <br/>
 <ul>
  <li>
   Culture: Inclusive, diverse, and innovation-driven environment with a global vision.
  </li>
  <li>
   Career: High-impact projects, continuous learning, and career growth opportunities.
  </li>
  <li>
   Rewards: Competitive package with healthcare, education support, leave benefits, and more.
  </li>
 </ul>
</div>


TATWEER MIDDLE EAST AND AFRICA L.L.C

<div>
 <p>
  Role: Senior Project Manager, Artificial Intelligence
 </p>
 <p>
  <strong>
   Project Planning &amp; Execution:
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to end AI project delivery &mdash; from requirements gathering, feasibility analysis, and design to implementation and post-deployment optimization.
  </li>
  <li>
   Define clear project scope, timelines, milestones, and deliverables in alignment with business objectives.
  </li>
  <li>
   Manage crossfunctional teams including data scientists, ML engineers, software developers, and business analysts.
  </li>
  <li>
   Oversee the integration of AI solutions into existing systems or products.
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Management:
  </strong>
 </p>
 <ul>
  <li>
   Act as the main liaison between technical teams and business stakeholders.
  </li>
  <li>
   Communicate project status, risks, and dependencies to senior management and clients.
  </li>
  <li>
   Translate technical outputs into business insights and actionable strategies.
  </li>
 </ul>
 <p>
  <strong>
   Technical &amp; Strategic Alignment:
  </strong>
 </p>
 <ul>
  <li>
   Work closely with AI architects and data teams to ensure data availability, quality, and governance.
  </li>
  <li>
   Support model lifecycle management &mdash; including model training, validation, deployment, and monitoring.
  </li>
  <li>
   Identify opportunities for applying AI/ML to automate processes, improve decision-making, or enhance customer experience.
  </li>
  <li>
   Ensure compliance with AI ethics, data privacy, and regulatory standards (e.g., GDPR, CCPA).
  </li>
 </ul>
 <p>
  <strong>
   Governance &amp; Reporting:
  </strong>
 </p>
 <ul>
  <li>
   Develop project documentation including charters, roadmaps, SOWs, and post-implementation reports.
  </li>
  <li>
   Track KPIs and project performance metrics to evaluate impact and return on investment (ROI).
  </li>
  <li>
   Manage project budgets, resources, and vendor relationships.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Project Management: PMP (Project Management Professional) certification is highly required.
 </p>
 <p>
  Agile Methodologies: Certified ScrumMaster (CSM), SAFe Agilist (SA), or similar Agile certification.
 </p>
 <p>
  AI/ML (Beneficial): Certifications in AI/ML from major cloud platforms (e.g., AWS Certified Machine Learning &ndash; Specialty, Azure AI Engineer Associate) are a significant advantage.
 </p>
</div>


Project Manager

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