Senior Data Scientist

About the Job

Presight is an ADX-listed public company with G42 (Abu Dhabi) as its majority shareholder, recognized as the region’s leading big data analytics company powered by GenAI. We harness big data, advanced analytics, and artificial intelligence to deliver impactful solutions for public and private sector organizations aiming to realize their AI strategies efficiently.

We are seeking a Senior Data Scientist specializing in large language models (LLMs), agentic workflows, and applied machine learning. This role entails leading the design, training, and deployment of innovative AI solutions that drive intelligent agents, natural language interfaces, and knowledge-driven applications across various domains. You will collaborate with diverse teams to create scalable and high-performing AI systems that derive value from both unstructured and structured data.

Responsibilities

• Design, build, and optimize LLM-based solutions for tasks including text understanding, summarization, semantic search, dialogue systems, and reasoning.
• Develop and orchestrate agentic workflows, integrating LLMs with tools, APIs, and data pipelines for autonomous task execution.
• Fine-tune and align LLMs on domain-specific datasets utilizing techniques such as RLHF, prompt engineering, retrieval-augmented generation (RAG), and knowledge grounding.
• Architect multi-modal AI pipelines combining LLMs with computer vision, knowledge graphs, and structured data.
• Ensure scalability, efficiency, and reliability of deployed models in cloud and edge environments.
• Stay abreast of the latest research in GenAI, agents, and applied AI, implementing findings into innovative product features.
• Collaborate with software engineers, data engineers, and product managers to integrate AI models into production systems.
• Document methodologies, establish internal best practices, and present findings to stakeholders.
• Comply with policies and procedures related to Quality Health Safety and Environment (QHSE), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance.

Qualifications

Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Applied Mathematics, or a related field.
• Advanced research and practical experience in large-scale machine learning models.
• Proven experience in developing and deploying LLM-powered solutions.
• Strong background in natural language processing (NLP), applied machine learning, and GenAI projects.
• Experience with orchestration frameworks like LangChain, LlamaIndex, Haystack, or equivalent.

Skills:

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Hands-on experience with LLM fine-tuning, evaluation, and optimization.
• Knowledge of RAG pipelines, embeddings, and vector databases (FAISS, Pinecone, Milvus).
• Familiarity with agentic architectures and workflow automation frameworks.
• Knowledge of backend frameworks (e.g., FastAPI), containerization (Docker), and databases (PostgreSQL, Redis).
• Strong analytical, problem-solving, and research skills.
• Excellent communication skills to convey technical concepts to diverse audiences.
• Ability to thrive in fast-paced, collaborative environments.

Preferred:

• Experience with multi-agent systems, autonomous reasoning, and planning frameworks.
• Knowledge of Model Context Protocol (MCP) and reasoning models is a plus.
• Familiarity with responsible AI, bias mitigation, and data privacy in LLM systems.
• Understanding of real-time applications (e.g., chatbots, copilots, AI agents).
• Knowledge of AI coding tools (Cursor, Claude code, OpenAI Codex, GitHub Copilot).

Work Conditions

• On-site, Full-time

What We Offer

• Culture: An inclusive, diverse, and innovation-driven environment with a global vision.
• Career: High-impact projects, continuous learning, and fast-tracked career growth.
• Rewards: A competitive compensation package, comprehensive healthcare, education support, leave benefits, and more.