MLOps Engineer - AI Platform & Edge Deployment

Alta Ares

Paris

On-site

EUR 70,000 - 120,000

Full time

14 days+

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Job summary

Alta Ares in Paris is seeking an MLOps Engineer to own Gamma Ulixes, the AI platform powering internal workflows and customer-facing AI capabilities. You will work with ML Engineers, Software Engineers and DevOps to turn research prototypes into production-ready systems.

Beyond infrastructure, you will shape tooling, services and workflows that accelerate the entire ML lifecycle—from data ingestion to deployment on operational platforms.

Qualifications

  • 3–5+ years of experience working on production ML 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 and reproducible workflows.
  • Experience designing APIs and backend services supporting AI applications.
  • Familiarity with CI/CD and cloud-native development.
  • Ownership mindset driving projects from design to production.
  • Ability to collaborate across ML, Software and Infrastructure teams.

Responsibilities

  • Develop and improve Gamma Ulixes, our 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 ML.
  • Build APIs and backend services powering AI workflows.
  • Manage GPU infrastructure, distributed training and resource orchestration.
  • Improve monitoring, observability and reliability across AI services.
  • Maintain reproducible development and deployment environments.
  • 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.

Skills

Python
Docker
Linux
CI/CD

Tools

Kubernetes

Job description

Alta Ares in Paris is seeking an MLOps Engineer to own Gamma Ulixes, the AI platform powering internal workflows and customer-facing AI capabilities. You will work with ML Engineers, Software Engineers and DevOps to turn research prototypes into production-ready systems.

Beyond infrastructure, you will shape tooling, services and workflows that accelerate the entire ML lifecycle—from data ingestion to deployment on operational platforms.

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