Remote ML DevOps Engineer — Cloud & Pipelines

Pathway; Paris; À distance; EUR 70 000 - 110 000; Plein temps

Résumé du poste

A leading AI startup is seeking a Machine Learning DevOps professional to optimize infrastructure for ML training. The position involves automating ML pipelines, managing models, and ensuring CI/CD practices across the ML lifecycle. Candidates should have solid experience with Linux, containerization, and cloud services. This role offers a remote work possibility with exciting career prospects in a dynamic environment.

Qualifications

• Very good familiarity with Linux, shell scripts, and cluster configuration scripts.
• Proficiency in workload management and orchestration.
• Solid grasp of CI/CD tools and workflows.

Responsabilités

• Optimize infrastructure for ML training and inference.
• Automate and maintain ML pipelines.
• Manage model versioning and reproducibility.
• Work with terabyte-large datasets.
• Implement ML-centric CI/CD practices.

Connaissances

Linux

Containerization and orchestration (Slurm, Docker, Kubernetes)

CI/CD tools (GitHub Actions, Jenkins)

Cloud infrastructure knowledge (AWS, GCP, Azure)

Monitoring/logging tools (Grafana, CloudWatch)

Infrastructure as code (Terraform, CloudFormation)

ML pipeline orchestration tools (MLflow, Kubeflow)

Programming skills in Python

Description du poste

A leading AI startup is seeking a Machine Learning DevOps professional to optimize infrastructure for ML training. The position involves automating ML pipelines, managing models, and ensuring CI/CD practices across the ML lifecycle. Candidates should have solid experience with Linux, containerization, and cloud services. This role offers a remote work possibility with exciting career prospects in a dynamic environment.