MLOps Engineer: Scale AI Platform & Edge Deployments

Alta Ares; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

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

You will help shape tooling, services and workflows that accelerate the entire ML lifecycle, from data ingestion to deployment on operational platforms. This role suits engineers who enjoy building products and scaling AI reliably.

Qualifications

• 3-5+ years in production ML/ML Platform roles.
• Strong Python software engineering skills.
• Experience designing production-grade ML infrastructure.
• Experience with ML experiment tracking and model registries.
• Ability to build APIs and backend services for AI apps.
• Familiarity with CI/CD and cloud-native development.

Responsabilités

• Develop and improve Gamma Ulixes for training, evaluating and deploying models.
• Build experiment tracking, model registry and dataset management capabilities.
• Design reproducible ML workflows and automated training pipelines.
• Deploy AI services across cloud, on-premise and edge environments.
• Collaborate with ML, software and infra teams to standardize practices.

Connaissances

Python

ML workflows

APIs & backend services

CI/CD & automation

Docker & Linux

Outils

Docker

Linux

CI/CD tooling

Description du poste

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

You will help shape tooling, services and workflows that accelerate the entire ML lifecycle, from data ingestion to deployment on operational platforms. This role suits engineers who enjoy building products and scaling AI reliably.