Senior Data Scientist (Agentic AI, LLMs & MLOps)

Ghaia.ai; Doha; Hybrid; QAR 291,000 - 437,000; Full time

Job summary

A premier AI technology company is seeking a Senior Data Scientist in Doha, Qatar. In this role, you will design and implement cutting-edge AI solutions, focusing on autonomous systems and large language models. Candidates should possess extensive knowledge in AI architecture and MLOps, with a drive for innovation and technical ownership across various projects. The position offers a unique opportunity to shape the future of AI technology in a dynamic environment.

Qualifications

• Expert in building scalable AI solutions.
• Experience in deploying AI models using MLOps best practices.
• Strong background in fine-tuning language models.

Responsibilities

• Design and deploy AI-powered autonomous agents.
• Develop multi-agent orchestration frameworks.
• Collaborate on data science projects focusing on explainability.

Skills

Technical ownership of AI components

Rapid prototyping

Exploration of new AI paradigms

Reliable deployment pipelines

Strategic thinking

Tools

Azure ML

Databricks

LangGraph

AutoGen

CrewAI

Job description

Overview

Location: Doha, Qatar / Remote

Company: Ghaia.ai | Redefining the Boundaries of Possible

At Ghaia.ai, we are pioneering the future of autonomous AI systems by merging the power of large language models (LLMs), Agentic AI architectures, and enterprise-grade MLOps on the Microsoft Azure ecosystem. As a Senior Data Scientist, you will play a pivotal role in driving our AI product innovation and customer delivery, blending hands-on development with strategic thinking.

We are looking for a seasoned expert who can go beyond building models — someone who can engineer scalable solutions, deploy them reliably, and ensure they evolve intelligently. You’ll work at the intersection of applied research, solution delivery, and AI infrastructure to build intelligent agents that solve real business problems.

Responsibilities

• Autonomous & Multi-Agent Systems: Design, build, and deploy AI-powered autonomous agents capable of executing complex tasks and reasoning independently.
• Autonomous & Multi-Agent Systems: Develop multi-agent orchestration frameworks using LangGraph, AutoGen, or CrewAI for enterprise-grade use cases.
• LLMs & Generative AI: Fine-tune and optimize large language models for contextual understanding, summarization, classification, and dialogue systems.
• LLMs & Generative AI: Implement retrieval-augmented generation (RAG) pipelines using vector databases and embedding strategies for grounding LLMs in enterprise data.
• Predictive Modeling & ML: Build and deploy traditional ML models (classification, regression, time-series forecasting) to support analytical decision-making.
• Predictive Modeling & ML: Collaborate on data science projects with a focus on explainability, accuracy, and performance.
• MLOps & Deployment: Own the end-to-end lifecycle of AI models, from experimentation to scalable deployment in production using MLOps best practices.
• MLOps & Deployment: Work closely with engineering to ensure CI/CD for ML, automated testing, monitoring, and retraining of models in Azure ML or Databricks.
• Azure AI & Cloud AI Architecture: Leverage Microsoft Azure’s AI stack – OpenAI, Cognitive Services, Azure ML Studio, Synapse, and containerized deployments – to build cloud-native AI solutions.
• Azure AI & Cloud AI Architecture: Design robust and secure architectures that scale across clients and verticals.
• Collaboration & Mentorship: Partner with solution architects, product teams, and front-end engineers to translate business requirements into technical solutions.
• Collaboration & Mentorship: Mentor junior data scientists and contribute to knowledge-sharing across the AI and product teams.
• Expectations & Impact: As a Senior Data Scientist at Ghaia.ai, you are expected to: Take technical ownership of AI components across projects and products; Drive experimentation and rapid prototyping to validate ideas; Push the limits of innovation by exploring new AI paradigms, especially in autonomous systems and self-improving agents; Ensure reliable and secure deployment pipelines, reinforcing AI quality and trust at scale; Balance hands-on delivery with strategic thinking to align with Ghaia’s roadmap and mission

Skills

• Take technical ownership of AI components across projects and products.
• Drive experimentation and rapid prototyping to validate ideas.
• Push the limits of innovation by exploring new AI paradigms, especially in autonomous systems and self-improving agents.
• Ensure reliable and secure deployment pipelines, reinforcing AI quality and trust at scale.
• Balance hands-on delivery with strategic thinking to align with Ghaia’s roadmap and mission.