Jobs in Bordeaux, France

Make a huge impact at Dailymotion by joining our team as an MLOps Engineer.

You will play a crucial role in bridging the gap between machine learning and engineering. Collaborating with the teams to deliver innovative and high-quality data products. You will be responsible for :

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.

• 3 years of experience in MLOps DevOps or Data Engineering.
• Strong Expertise with cloud platforms (GCPAWSAzure) 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 (AirflowDataFlowKestra)
• Experience with Data lifecycle Management (Storage policies costs optimization security encryption).
• Proficiency in containerization and orchestration (Docker Kubernetes Helm).
• Experience in ML infrastructure optimization (GPUsTPUs 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.

Dailymotion is proud to be an equal employment opportunity and affirmative action employer. We value inclusion and we want you to help us thrive for a more diverse community.

All our job offers are open to people with disabilities or impairments and we actively encourage everyone to apply. If you have any accessibility needs or require any accommodations for the hiring process please let us know in advance so that we can make any necessary arrangements.

Location : Issy-Les-Moulineaux - Full remote

Start Date : Asap

Contract Type : CDI

Want to learn more about us :

New-York office - BuiltIn

Offices in France - Welcome to the Jungle

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For the France offices :

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)

European Economic and Social Committee (sport membership / cinemas vouchers / gift vouchers / discount)

Fitness Subscription thanks to our partnership with Gymlib

Remote Work : Yes

Employment Type : Full-time

APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage

Department / Functional Area : Operations

Experience : years

Vacancy : 1