Job Description
Senior AI/ML + MLOps Engineer
Experience: 6–10+ years Location: As per project requirement (Global Pharma & Healthcare)
---
Role Summary
Capgemini is looking for a Senior AI/ML + MLOps Engineer with strong integration expertise to lead complex ML systems This role demands deep hands-on knowledge in model training, LLM fine-tuning using PEFT, API-based integration design, orchestration workflows, and end-to-end MLOps automation compliant with pharma regulations.
---
Key Responsibilities
· Architect and lead ML, LLM, and AI platform solutions end-to-end.
· Execute and optimize PEFT-based fine-tuning pipelines for LoRA/QLoRA.
· Design and manage API-driven integrations with Sanofi’s internal and external systems.
· Build orchestration workflows using Airflow, Step Functions, Argo, or similar.
· Lead the implementation of robust MLOps pipelines (training, CI/CD, deployment, monitoring).
· Implement mode...
Ready to Apply?
Take the next step in your AI career. Submit your application to Capgemini Engineering today.
Submit Application