Senior ML Ops Engineer

Job Description

The Senior ML Ops Engineer plays a critical role in designing and implementing end-to-end machine learning operations infrastructure to support scalable, secure, and governed agent deployment. This role focuses on enabling agentic AI systems through robust deployment pipelines, observability, and orchestration across the Mosaic AI platform. You’ll work at the intersection of infrastructure, AI, and automation to ensure seamless lifecycle management for models and agents.

YOUR ROLE

• Design and implement ML Ops infrastructure for deploying and managing AI agents at scale.
• Administer and optimize the Databricks Mosaic AI platform for multi-tenant, governed usage.
• Build agent deployment pipelines and manage agent lifecycle using MLflow and Mosaic AI tools.
• Implement agent monitoring, logging, and performance tracking systems.
• Orchestrate inference environments using Kubernetes and containerized runtimes.
• Configure Databricks Jobs, Workflows, and agent scheduling mechanisms.
• Manage multi-agent system orchestration and resource allocation strategies.
• Maintain Docker container registries and ensure secure image management.
• Integrate observability tools such as Prometheus and Grafana for real-time insights.
• Apply Infrastructure as Code practices using Terraform and ARM templates.
• Develop and maintain CI/CD pipelines for ML models, agents, and data workflows.

YOUR PROFILE

• Expert-level experience with Databricks Mosaic AI platform administration.
• Deep understanding of agentic AI deployment pipelines and lifecycle management.
• Proficiency with MLflow for tracking and managing models and agents.
• Strong background in Kubernetes orchestration and containerized inference environments.
• Experience with Databricks Jobs, Workflows, and scheduling strategies.
• Skilled in multi-agent orchestration and resource management.
• Hands-on experience with Docker and container registry management.
• Familiarity with monitoring tools like Prometheus and Grafana.
• Solid knowledge of Infrastructure as Code (Terraform, ARM templates).
• Proven ability to build and maintain CI/CD pipelines in ML environments.
• Excellent collaboration and problem-solving skills in cross-functional teams.

WHAT YOU'LL LOVE ABOUT WORKING HERE

• A supportive environment for continuous learning, including certifications and access to global expertise.
• Flexible work culture based on trust, hybrid options, relaxed hours, and a focus on results.
• Opportunities to contribute to social impact initiatives like Impact Together Week.
• A wide range of employee perks: meal vouchers, Multisport card, birthday day off, free office gym access, and monthly company breakfasts.

Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.