Senior MLOps Engineer

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November 4

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Dailymotion

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Media • B2C

Dailymotion is a video-sharing technology platform that allows users to search, upload, and view videos. Often compared to platforms like YouTube, it offers a wide array of content including news, short films, music videos, sports highlights, and more. Founded in 2005, Dailymotion is based in France and provides users worldwide with an engaging multimedia experience. The platform supports advertisers and developers who wish to utilize its video technology for various applications.

201 - 500 employees

Founded 2005

📱 Media

👥 B2C

💰 $25M Series C on 2009-10

📋 Description

• 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.

🏖️ Benefits

• High-end Health Insurance and Personal Services Vouchers (CESU) • Paternity leave or Coparental leave extended • 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 …) • Living Employee Culture (Events/Trainings/Parties/All hands,…)