Generative AI Data Scientist/Agentic AI, Python

Generative AI Data Scientist/Agentic AI, Python/is required by a global IT company to join their data science team building AI systems used across the organization.

Responsibilities:

• Lead end-to-end AI development process from concept to deployment.
• Translate business requirements into clear AI solution designs.
• Design and build data pipelines and AI workflows based on Azure cloud and Databricks.
• Apply Generative AI techniques for text, code, image, and multimodal use cases.
• Utilise agentic frameworks such as LangChain, LangGraph, MCP, Google ADK or similar
• Build solutions for LLM fine-tuning, RAG, and multi-agent AI workflows.
• Build Python based solutions using key data science and ML libraries (Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face, etc )
• Prepare documentation and sharing solution designs, decisions, and results with both technical and non-technical audiences.

Required experience:

• Strong Python skills
• PyTorch, Hugging Face, Scikit-learn, TensorFlow or similar AI/ML libraries.
• Extensive data science experience including Generative AI/LLMs.
• Experience in developing prompts and fine-tuning large language models (LLMs).
• Agentic AI frameworks.
• Databricks for data engineering and ML workflows.
• Azure cloud and MLOps practices.
• Clear communication and ability to connect technical work to business needs.
• Experience with vector databases, RAG solutions, and multi-agent systems will be beneficial.