Dailymotion

Senior MLOps Engineer

Dailymotion

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇫🇷 France

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Job Level

Senior

Tech Stack

AirflowAWSAzureBigQueryCloudDockerFluxGoGoogle Cloud PlatformKubernetesPrometheusPythonRustTerraform

About the role

  • 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.

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.
  • 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
  • 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
  • Fitness Subscription thanks to our partnership with Gymlib
  • Career development support (training/internal mobility/compensation cycle/360 feedback review …)
  • Paternity leave or Coparental leave extended
  • European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount)
  • Living Employee Culture (Events/Trainings/Parties/All hands,…)
  • Saving Plan Canal +
  • Remote friendly, ability to work 3 months abroad

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
MLOpsDevOpsData EngineeringCI/CDML OrchestratorsData pipelinesContainerizationInfrastructure as CodeMonitoringProgramming in Python
Soft skills
CollaborationCommunicationInnovationMotivationCreativity