DevOps - Start-Up Spécialisée en Deep Learning - Fullremote H/F

Role Overview

As the second DevOps/MLOps engineer, you'll be responsible for building and maintaining cloud infrastructure, CI/CD pipelines, and deployment automation for a deep learning platform serving agricultural applications.

Key Responsibilities

• Cloud Infrastructure: Create, maintain, and update cloud infrastructure (AWS/GCP)
• CI/CD & Automation: Design and implement efficient CI/CD pipelines and automation tools for rapid model iteration and deployment
• Monitoring & Observability: Set up and maintain comprehensive monitoring, logging, and alerting systems
• ML/DevOps Bridge: Work closely with the Data Science team to understand their workloads, challenges, and artifacts (model weights, training outputs, predictions, etc.); create or adapt tools to support their needs
• Technical Support & Enablement: Train the technical team on cloud and DevOps best practices; provide ongoing support
• Technology Research: Stay current with emerging tools and technologies specific to ML/Deep Learning/Vision workloads to improve infrastructure
• Incident Response: Plan for failure scenarios and respond quickly to production issues during peak seasons; investigate root causes and build resilience
• On-Call Support: Seasonal on-call responsibilities during summer harvest periods when operations run 24/7

Requirements

• At least 2 years of DevOps, SRE, or MLOps experience
• Kubernetes experience
• AWS or GCP experience
• CI/CD toolchain experience
• Python
• Docker

Nice-to-Haves

• Experience with ML/Deep Learning workloads and their operational challenges
• Familiarity with the current stack components (Kubeflow, Helm, Terraform, ArgoCD, Argo Workflow, Prometheus, Grafana, Datadog)