Senior MLOps Engineer

Summary

Join Dailymotion as an MLOps Engineer and bridge the gap between machine learning and engineering, collaborating with teams to deliver innovative data products. Empower ML engineers with efficient tools and infrastructure, accelerate time-to-market for ML products, and ensure seamless integration and data access. Maintain model control in production, facilitating large-scale experimentation through robust test environments. Own the industrialization and deployment of ML models, manage model operations, and guarantee optimal performance and continuous improvement. Dailymotion offers a remote-friendly work environment with various benefits, including extended parental leave, a high-end health insurance, meal vouchers, and professional development support.

Requirements

• 3+ years of experience in MLOps, DevOps, or Data Engineering
• Strong Expertise with cloud platforms (GCP,AWS,Azure) their ML services (Vertex AI, SageMaker, etc.) and data services ( Bigquery, buckets )
• Strong Expertise in CD pipelines for ML models (Flux)
• Experience  in ML Orchestrators ( Kubeflow, Kuberay )
• Experience  in CI pipelines for ML models (Flux, Jx3)
• Experience in Data pipelines for ML models (Airflow,DataFlow,Kestra)
• Experience with Data lifecycle Management  (Storage policies, costs optimization , security, encryption)
• Proficiency in containerization and orchestration (Docker, Kubernetes, Helm)
• Experience in ML infrastructure optimization  (GPUs,TPUs, Inferentia)
• Expertise with Infrastructure as Code (Terraform)
• Expertise in monitoring and observability capabilities (Prometheus, Datadog, Looker)
• Strong programming skills in Python, with experience in Bash scripting; knowledge of Go or Rust is a plus

Responsibilities

• Empowering ML Engineers by providing tools and infrastructure that enhance their productivity while adapting to their specific needs
• Accelerating time-to-market for the first production-ready versions of ML products by ensuring seamless integration, proper service connections, and access to data and resources
• Ensuring ML Engineers maintain control over their models in production, allowing them to monitor, troubleshoot, iterate quickly, and refine models and feature engineering logic
• Facilitating large-scale ML experimentation by providing robust, reproducible, and scalable test environments for data science projects, enabling both qualitative experimentation (internal tests and demos) and quantitative experimentation (A/B testing in production)
• Owning the industrialization and deployment (CI/CD) of ML models , ensuring their reliability, scalability, and performance through advanced MLOps practices
• Managing model operations and maintenance , guaranteeing optimal performance, monitoring, and continuous improvements in production

Preferred Qualifications

• Strong collaboration and communication skills to work effectively with ML Engineers and cross-functional teams
• Ability to drive innovation and advocate for best MLOps practices within the company
• Cultural Alignment: We seek a creative, motivated individual who values growth and is eager to contribute to our team and product
• Excellent English communication skills, capable of working effectively in an international team

Benefits

• Remote friendly, ability to work 3 months abroad
• Saving Plan Canal +
• Paternity leave or Coparental leave extended
• Living Employee Culture (Events/Trainings/Parties/All hands,…)
• Career development support (training/internal mobility/compensation cycle/360 feedback review …)
• High-end Health Insurance and Personal Services Vouchers (CESU)
• Paid Time off – RTT and Saving time plan (CET)
• Meal Vouchers – Public Transport and Bike refund
• European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount)
• Fitness Subscription thanks to our partnership with Gymlib