Senior AI & Data Science Engineer
Summary
Design and deliver AI and data‑science solutions, building ML models and GenAI applications with LLMs, RAG, and AI agents, while collaborating with business teams to identify use cases, prepare data, evaluate impact, and communicate results, primarily using Python and related tools.
Role Purpose
Design and deliver AI, data science, and Agentic AI
solutions that solve business problems and create measurable value.
Key Responsibilities
- Identify
AI use cases with business teams.
- Build
machine learning and data science models.
- Develop
GenAI solutions using LLMs, RAG, prompts, and AI agents.
- Prepare
and analyse data for AI use cases.
- Evaluate
model performance and business impact.
- Support
responsible AI, testing, monitoring, and documentation.
- Explain
AI capabilities and limitations in business language.
Requirements
Required Skills
- Python,
machine learning, data science, model evaluation, and GenAI tools.
- Experience
with LLMs, RAG, vector databases, APIs, or AI agents.
- Strong
problem-solving and communication skills.
Preferred
Experience with Azure AI, OpenAI, Copilot Studio, LangChain,
LlamaIndex, Flowise, or similar tools.