Data Science AI Engineer
Summary
A 6-month contractor role at Deloitte building and deploying AI agents and multi-agent systems, fine-tuning LLMs, and setting up LLM-as-a-judge evaluation frameworks, integrated on GCP. Core stack: Python (NumPy, Pandas), agent frameworks like ADK/LangChain/AutoGen, and generative AI/ML skills.
Role: Data Science AI Engineer
Location: London – Hybrid model
Start Date: ASAP
End Date: 6 Months
Daily Rate: Inside IR35
Payroll
provider – Rockford Payroll Info for
Contingent Workers – Rockford Pay
This is an exciting opportunity to join Deloitte
Operations for an engagement with one of our clients.
The Role
It's all about designing and deploying robust AI
agents, working with multi-agent systems, and really diving deep into LLMs for
enhanced reasoning and planning.
Key
Responsibilities
· Building AI agents and multi-agent systems
· Fine-tuning LLMs for smarter agents
· Evaluating an multi -agent pipeline using LLM as a judge on ground
source of truth
· Delivering AI solutions end-to-end
· Setting up evaluation frameworks
· Integrating agentic solutions on GCP (ensuring performance, security,
etc.)
Experience
& Skills Required
· Expert Python skills (NumPy, Pandas)
· Experience with AI agent design & frameworks (ADK, LangChain,
AutoGen)
· Strong ML/deep learning/stats background
· Hands-on experience with LLMs and generative AI
· Bonus points if you know your way around GCP (Vertex AI, BigQuery) and
MLOps