MLOps Engineer

About This Opportunity

We are representing a confidential defense technology organization based in Paris that is scaling rapidly and building advanced AI-guided systems. Our client is entering an exciting phase of international expansion and product development, and we're seeking an experienced MLOps Engineer to join their growing team.

This is a unique opportunity to own the evolution of a production AI platform that powers both internal development workflows and customer-facing capabilities. You'll work at the intersection of machine learning, infrastructure, and product development in a high-impact environment.

Responsibilities

You will own and develop the AI platform that supports the full machine learning lifecycle, from data ingestion through production deployment:

• Develop and improve the AI platform for training, evaluating, and deploying machine learning models
• Build experiment tracking, model registry, and dataset management capabilities
• Design reproducible ML workflows and automated training pipelines
• Develop benchmarking, evaluation, and model validation services
• Design scalable infrastructure supporting computer vision and trajectory-based machine learning
• Build APIs and backend services powering AI workflows
• Manage GPU infrastructure, distributed training, and resource orchestration
• Improve monitoring, observability, and reliability across AI services
• Build CI/CD pipelines for machine learning models
• Deploy AI services across cloud, on-premise, and edge environments
• Optimize inference pipelines for Nvidia Jetson and embedded hardware
• Manage model packaging, versioning, and rollout strategies
• Work closely with Machine Learning Engineers to industrialize research workflows
• Collaborate with Software Engineers to integrate AI capabilities into operational products
• Help define engineering standards, tooling, and best practices across the Data & AI team

What We're Looking For

• 3–5+ years of experience as an MLOps Engineer, ML Platform Engineer, Software Engineer, or Data Engineer working on production machine learning systems
• Strong Python software engineering skills
• Experience designing and operating production-grade ML infrastructure
• Solid understanding of Docker, Linux, and containerized environments
• Experience with ML experiment tracking, model registries, and reproducible workflows
• Experience designing APIs and backend services supporting AI applications
• Familiarity with CI/CD, infrastructure automation, and cloud-native development
• Strong ownership mindset with the ability to drive projects from design to production
• Comfortable collaborating across Machine Learning, Software, and Infrastructure teams
• Focus on developer experience and operational excellence
• Pragmatic, impact-driven, and hands-on approach
• Ability to thrive in fast-moving environments with high technical standards

Location: Paris, France

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your background and career goals. If there's a strong match, we will submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all applications must go through our recruitment process to be considered.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and works with clients who value diversity. We encourage applications from candidates of all backgrounds.