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Principal Data Scientist

1 month ago


Doha, Baladīyat ad Dawḩah, Qatar Ghaia Full time

We are seeking a Principal Data Scientist with deep expertise in Agentic AI, LLMs, and Cloud AI Architectures to lead our AI initiatives. You will play a critical role in designing, developing, and deploying multi-agent AI systems, RAG architectures, and predictive models leveraging Microsoft Azure's AI ecosystem. If you have hands-on experience in building autonomous agents using LangGraph, CrewAI, or AutoGen, and a track record of fine-tuning LLMs and predictive models, we want to hear from you

Key Responsibilities

  1. Develop Autonomous AI Agents – Design, build, and deploy AI-powered agents capable of executing complex workflows autonomously.
  2. Multi-Agent Orchestration – Architect and integrate multi-agent systems using LangGraph, CrewAI, AutoGen, and other agentic frameworks.
  3. Advanced RAG Systems & LLM Fine-Tuning – Implement retrieval-augmented generation (RAG) pipelines and fine-tune LLMs for high-performance enterprise applications.
  4. Predictive AI & Machine Learning – Develop traditional predictive models alongside generative AI systems to deliver intelligent insights.
  5. Azure AI Expertise – Architect scalable cloud AI solutions on Microsoft Azure, utilizing Azure Cognitive Services, OpenAI, ML Studio, and Synapse Analytics.
  6. Cloud & Microservices Architecture – Design AI systems with scalable, distributed, and cloud-native architectures, ensuring high availability and security.
  7. AI Model Optimization & Deployment – Optimize model inference pipelines, enhance performance, and deploy AI systems efficiently.
  8. Research & Innovation – Stay ahead of AI advancements, experimenting with LLMs, autonomous agents, and next-gen AI frameworks to push the boundaries of innovation.
  9. Mentorship & Collaboration – Lead and mentor a team of AI engineers, data scientists, and software developers in AI-driven product development.

Why Join Ghaia.ai?

  1. Work on cutting-edge Agentic AI, LLMs, and Azure AI solutions.
  2. Lead AI innovation and shape the future of autonomous intelligent systems.
  3. Competitive salary, equity options, and performance-based incentives.
  4. Work with a dynamic team pushing the boundaries of AI.
  5. Be part of a fast-growing AI company in the heart of Qatar's tech ecosystem.

Skills

Required Qualifications & Skills

  1. Experience – 7+ years in AI/ML, with at least 3+ years in autonomous agents and LLM-based AI systems.
  2. Agentic AI Expertise – Hands-on experience in LangGraph, CrewAI, AutoGen, or similar frameworks for multi-agent orchestration.
  3. LLM & NLP Mastery – Proven experience in fine-tuning LLMs, embedding optimization, and retrieval-augmented generation (RAG) architectures.
  4. Predictive Modeling – Strong background in traditional ML models (classification, regression, forecasting) and integrating them into AI-driven systems.
  5. Azure Cloud & AI Services – Expertise in Azure AI, Cognitive Services, Azure ML Studio, OpenAI, Synapse Analytics, and cloud security best practices.
  6. Cloud-Native Architectures – Deep understanding of microservices, distributed computing, and scalable AI deployment.
  7. Software Development – Proficiency in Python, PyTorch/TensorFlow, LangChain, vector databases (Weaviate, Pinecone, FAISS), and API integrations.
  8. Leadership & Communication – Strong ability to lead AI projects, mentor teams, and articulate complex AI concepts to non-technical stakeholders.

Other Requirements

  1. Experience with graph-based AI, reinforcement learning, and self-improving AI agents.
  2. Exposure to multi-modal AI (text, image, video, audio processing).
  3. Experience in deploying AI models in enterprise environments with compliance and security considerations.
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