Senior Data Scientist

Context: A team responsible for the development and industrialization of applications for the Investment Banking division. Accelerating the integration of generative AI solutions and AI agents into business processes. A strategic environment within the platform, with high-impact use cases in document analysis, credit, and finance.

description Strong Python with extensive experience in Object-Oriented Programming and enterprise software design patterns . Proven track record building asynchronous microservices and endpoints using FastAPI . Hands-on practice in pytest (unit, functional, and integration testing for ML/LLM pipelines).

Bash scripts for automation, data handling, and container interaction. LLMs architecture understanding proven by project portfolio. Architecting multi-step, stateful agentic graphs using LangGraph or Google ADK .

Hands-on experience optimizing LLM pipelines programmatically using DSPy . Practical knowledge of deploying and running high-throughput open-weight models on GPU infrastructure using runtimes such as vLLM (experience with CUDA and fine-tuning is a strong plus). Hands-on familiarity with automated build, test, and release pipelines ( Jenkins) .

Experience setting up tracing, drift detection, and automated evaluations for generative workflows using tools like Phoenix Arize . Dedication to shipping stable, secure code into flagship banking infrastructure where compliance, auditability, and data security are non-negotiable. General