We are seeking a highly skilled Senior Data Science & AI professional to lead the development and operation of our in-house AI capability. This role will cover a wide range of responsibilities, including data science, machine learning engineering, and AI engineering.

Key Responsibilities :

- Design, build, and operate the organisation's full-spectrum, in-house AI capability

- Build models, LLM/RAG applications, and autonomous agents using Python and modern ML/Gen AI stacks

- Lead a small team of Data Science Engineers

- Industrialize AI through MLOps/LLMOps to move use cases from pilot to sustained production value

- Build and own the internal AI platform, including LLM gateway, vector stores, guardrails, and evaluation tooling

Required Skills :

- Experience with data science, machine learning, and AI engineering

- Proficiency in Python and modern ML/Gen AI stacks

- Data Science (Python / ML) : classical machine learning models for business use cases

- Machine Learning Engineering : MLOps, deployment & monitoring of models in production

- AI Engineering , Gen AI & Agentic AI : LLM applications, RAG solutions and autonomous agents

- The individual will personally build models, LLM/RAG applications and agents while leading a small team of Data Science Engineers.

- The mandate is to industrialise AI through MLOps/LLMOps so use cases move from pilot to sustained production value, using Python and modern ML/Gen AI stacks on the enterprise data & AI platform.

- At our starting scale, this role also builds the internal AI platform (LLM gateway, vector stores, guardrails, evaluation tooling) and owns it jointly with the Lead Data and Analytics Engineer. The data & AI platform is envisioned on open-source technologies.

- The role demands genuine innovation appetite : exploring, building and maintaining new technologies internally rather than defaulting to packaged products.