Senior MLOps Engineer

OverviewMake a huge impact at Dailymotion by joining our team as an MLOps Engineer.Dailymotion is a video platform that values listening, discovery, and a safer Internet. Our team is composed of 400 people in France, New York, and Singapore, working to shake up the global video platform ecosystem. The company includes Dailymotion Pro and Dailymotion Advertising offerings for professionals and brands. We value four core principles: Opening perspectives, Building a safer world, Making bold moves, Creating meaning.ResponsibilitiesEmpowering 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 internal tests and demos as well as 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.Qualifications3+ years of experience in MLOps, DevOps, or Data Engineering.Strong expertise with cloud platforms (GCP, AWS, Azure) and their ML services (Vertex AI, SageMaker, etc.) and data services (BigQuery, storage buckets).Strong expertise in CD pipelines for ML models (Flux).Experience with ML orchestrators (Kubeflow, Kuberay).Experience with CI pipelines for ML models (Flux, Jx3).Experience with data pipelines for ML models (Airflow, DataFlow, Kestra).Experience with Data lifecycle Management (storage policies, cost 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).Experience 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.Soft skills: Strong collaboration and communication; ability to drive innovation and advocate for best MLOps practices; cultural alignment with growth and teamwork; excellent English communication skills.Additional InformationDailymotion is proud to be an equal employment opportunity and affirmative action employer. We value inclusion and encourage everyone to apply. If you have accessibility needs or require accommodations for the hiring process, please let us know in advance.Location: Issy-Les-Moulineaux - Full remoteStart Date: ASAPContract Type: CDIWant to learn more about usDailymotion.comNew-York office – BuiltInOffices in France – Welcome to the JungleOur articlesFor the France offices: Remote friendly, ability to work 3 months abroadSaving Plan Canal +Paternity leave or Coparental leave extendedLiving Employee Culture (Events/Trainings/Parties/All hands, etc.)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 refundEuropean Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount)Fitness Subscription thanks to our partnership with Gymlib #J-18808-Ljbffr