MLOPS

Your Role

As a Cloud & AI/ML Platform Engineer, you will be responsible for architecting, deploying, and scaling AI‑driven and machine‑learning solutions in cloud environments. You will work closely with data scientists, AI engineers, and DevOps teams to operationalize large language models (LLMs), enable robust MLOps practices, and build secure, scalable cloud platforms for regulated industries such as pharmaceuticals and healthcare.

In this role, you will:

• Design and implement cloud architectures supporting AI/ML workloads and production‑grade systems.
• Deploy, optimize, and scale LLMs using techniques such as quantization, batching, and caching.
• Build and manage ML platforms using AWS services including EC2, ECS/EKS, Lambda, S3, RDS, VPC, and IAM.
• Leverage AWS Bedrock, SageMaker, or similar managed AI services for model training and deployment.
• Design and implement MLOps/DevOps pipelines to support continuous integration, deployment, monitoring, and retraining of ML models.
• Use Infrastructure‑as‑Code tools such as Terraform, CloudFormation, or CDK to automate cloud provisioning.
• Implement and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, and AWS CodePipeline.
• Work with vector databases (Pinecone, Weaviate, Milvus) and graph databases (Neo4j) to support retrieval‑based and knowledge‑driven AI solutions.
• Support containerization and orchestration using Docker and Kubernetes.
• Collaborate on agent‑based and multi‑agent orchestration frameworks where applicable.
• Ensure solutions meet pharmaceutical industry compliance requirements such as GxP and 21 CFR Part 11.

Your Profile

• Hands‑on experience deploying and scaling machine‑learning models in production.
• Expertise in AWS cloud services, managed AI platforms, and distributed systems.
• Strong knowledge of containerization and orchestration using Docker and Kubernetes.

What You’ll Love About Working Here

• Opportunity to work on cutting‑edge AI, LLM, and cloud platforms.
• Exposure to large‑scale, regulated industry systems in pharmaceuticals and healthcare.
• Culture of innovation, collaboration, and continuous learning.
• Access to upskilling in cloud, AI/ML, and emerging technologies.

About Capgemini in India

Capgemini is an AI‑powered global business and technology transformation partner, helping organizations realize their future through technology, data, and people. With nearly 60 years of heritage, Capgemini is a responsible and diverse organization with 420,000 team members across more than 50 countries. The Group reported 2024 global revenues of €22.1 billion.

Capgemini in India comprises nearly 235,000 team members working across 13 locations, including Bengaluru, Chennai, Hyderabad, Mumbai, Pune, Noida, Gurugram, and more. We deliver end‑to‑end services across strategy, technology, engineering, and operations.

Make it real | www.capgemini.com/in‑en