Data Scientist

Senior AI/ML + MLOps Engineer

Experience:

6+yrs

Location:

Hyderabad

Role Summary

Capgemini is looking for a Senior AI/ML + MLOps Engineer with strong integration expertise to lead complex ML systems for Sanofi. 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.

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- 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 model governance, experiment tracking, reproducibility, and audit compliance.

· Deploy ML models on AWS—Sage Maker, EKS/ECS, Lambda, Step Functions.

· Ensure alignment with DMTA cycle, supporting cross-functional teams through Design → Make → Test → Analyze.

· Ensure adherence to pharma-grade security, compliance, and data privacy requirements.

· Mentor junior engineers and coordinate solution design with Sanofi stakeholders.

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- Required Skills

· Expert Python & advanced ML/LLM engineering experience.

· Strong expertise in APIs, integration architecture, REST frameworks, security tokens.

· Strong orchestration expertise—Airflow / Step Functions / Kubeflow / Prefect.

· In-depth understanding of DMTA lifecycle in scientific workflows.

· Advanced MLOps skills (MLflow, DVC, Kubeflow, Docker, Kubernetes).

· Strong AWS hands-on experience including Sage Maker pipelines.

· Experience in GPU optimization, distributed training, quantization.

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- · Pharma/healthcare domain experience.

· Understanding of HIPAA/GxP/GDPR compliance.

· Knowledge of lab workflows, R&D processes, scientific data systems.