Senior Data Scientist

📋 Description

• Design and develop LLM-based agentic solutions to automate complex business processes.
• Work closely with business teams to identify needs and drive the adoption of AI solutions.
• Develop data extraction pipelines and implement evaluation and observability frameworks for AI
• Deploy and industrialize models (LLMs, GPUs), ensuring quality through testing and DevOps best
• Take full ownership in driving AI features.
• Test ideas and PoCs quickly, validate feasibility with data and avoid technical debt.

🎯 Requirements

• Strong Python with extensive experience in Object-Oriented Programming and enterprise software
• Proven track record building asynchronous microservices and endpoints using FastAPI.
• Hands-on practice in pytest (unit, functional, and integration testing for ML/LLM pipelines).
• Architecting multi-step, stateful agentic graphs using LangGraph or Google ADK.
• Hands-on experience optimizing LLM pipelines programmatically using DSPy.
• General Stack: Google ADK, LangGraph, DSPy, vLLM, FastAPI, Python, Pytest, Arize Phoenix

🎁 Benefits

• Build expertise in Agentic AI architectures and the industrialization of LLMs in production.
• Work on high-visibility projects within the Investment Banking division.