Principal Data Scientist

Full time at Ghaia.ai in Qatar

Posted on February 22, 2025

Job details

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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