Principal Data Scientist
4 days ago
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
- Develop Autonomous AI Agents – Design, build, and deploy AI-powered agents capable of executing complex workflows autonomously.
- Multi-Agent Orchestration – Architect and integrate multi-agent systems using LangGraph, CrewAI, AutoGen, and other agentic frameworks.
- Advanced RAG Systems & LLM Fine-Tuning – Implement retrieval-augmented generation (RAG) pipelines and fine-tune LLMs for high-performance enterprise applications.
- Predictive AI & Machine Learning – Develop traditional predictive models alongside generative AI systems to deliver intelligent insights.
- Azure AI Expertise – Architect scalable cloud AI solutions on Microsoft Azure, utilizing Azure Cognitive Services, OpenAI, ML Studio, and Synapse Analytics.
- Cloud & Microservices Architecture – Design AI systems with scalable, distributed, and cloud-native architectures, ensuring high availability and security.
- AI Model Optimization & Deployment – Optimize model inference pipelines, enhance performance, and deploy AI systems efficiently.
- Research & Innovation – Stay ahead of AI advancements, experimenting with LLMs, autonomous agents, and next-gen AI frameworks to push the boundaries of innovation.
- Mentorship & Collaboration – Lead and mentor a team of AI engineers, data scientists, and software developers in AI-driven product development.
Why Join Ghaia.ai?
- Work on cutting-edge Agentic AI, LLMs, and Azure AI solutions.
- Lead AI innovation and shape the future of autonomous intelligent systems.
- Competitive salary, equity options, and performance-based incentives.
- Work with a dynamic team pushing the boundaries of AI.
- Be part of a fast-growing AI company in the heart of Qatar's tech ecosystem.
Skills
Required Qualifications & Skills
- Experience – 7+ years in AI/ML, with at least 3+ years in autonomous agents and LLM-based AI systems.
- Agentic AI Expertise – Hands-on experience in LangGraph, CrewAI, AutoGen, or similar frameworks for multi-agent orchestration.
- LLM & NLP Mastery – Proven experience in fine-tuning LLMs, embedding optimization, and retrieval-augmented generation (RAG) architectures.
- Predictive Modeling – Strong background in traditional ML models (classification, regression, forecasting) and integrating them into AI-driven systems.
- Azure Cloud & AI Services – Expertise in Azure AI, Cognitive Services, Azure ML Studio, OpenAI, Synapse Analytics, and cloud security best practices.
- Cloud-Native Architectures – Deep understanding of microservices, distributed computing, and scalable AI deployment.
- Software Development – Proficiency in Python, PyTorch/TensorFlow, LangChain, vector databases (Weaviate, Pinecone, FAISS), and API integrations.
- Leadership & Communication – Strong ability to lead AI projects, mentor teams, and articulate complex AI concepts to non-technical stakeholders.
Other Requirements
- Experience with graph-based AI, reinforcement learning, and self-improving AI agents.
- Exposure to multi-modal AI (text, image, video, audio processing).
- Experience in deploying AI models in enterprise environments with compliance and security considerations.
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