Principal Data Scientist

confidential; Qatar; On-site; QAR 800,000 - 1,000,000; Full time

Job summary

Join a forward-thinking company as a Principal Data Scientist, where your expertise in Agentic AI and cloud architectures will lead innovative AI initiatives. In this pivotal role, you will design and build autonomous AI agents, optimize predictive models, and leverage cutting-edge technologies to push the boundaries of AI. Collaborate with a talented team while mentoring the next generation of AI engineers and data scientists. This is your chance to make a significant impact in a dynamic environment that values innovation and excellence in AI solutions.

Qualifications

• Expertise in designing and deploying multi-agent AI systems.
• Hands-on experience with LLMs and predictive modeling.

Responsibilities

• Develop and deploy autonomous AI agents for complex workflows.
• Architect multi-agent systems and implement RAG pipelines.

Skills

Agentic AI

LLMs

Cloud AI Architectures

Predictive Models

Machine Learning

Autonomous Agents

Tools

Microsoft Azure

LangGraph

CrewAI

AutoGen

Azure Cognitive Services

OpenAI

ML Studio

Synapse Analytics

Job description

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?