Senior MLOps Engineer (All Genders) at Dailymotion

Issy-les-Moulineaux, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, DevOps, Data Engineering, Cloud Platforms, ML Services, Data Services, CI/CD Pipelines, ML Orchestrators, Data Pipelines, Data Lifecycle Management, Containerization, Orchestration, Infrastructure As Code, Monitoring, Observability, Programming

Industry

Online Audio and Video Media

Description

Company Description Dailymotion is more than a video app, it's a visual conversation in motion, based on a unique algorithm designed to broaden users' horizons. Dailymotion brings nuance to the debates that animate young people and puts listening, discovery, and kindness back at the heart of interactions to help build a better and safer Internet. Dailymotion is also "Dailymotion Pro", a video hosting and broadcasting solution for professionals in all sectors; and "Dailymotion Advertising", a powerful, proprietary video advertising platform, offering a high-quality, secure environment for brands. Our team is made up of 400 people in France, New York, and Singapore, all united by the same ambition: to visibly shake up the global video platform ecosystem. What brings us together? At Dailymotion, our team of talented individuals from over 40 nationalities embraces four core values every day: Opening perspectives - We are building bridges between different sides of the spectrum. We believe in freedom of speech, inclusivity, and a mix of cultures. Building a safer world - Empathy is the key to understanding alterity. Caring for each other is our driver to creating a safe community. Making bold moves - We are ambitious challengers. We are making against-the-flow choices to make visible changes in the platform's ecosystem Creating meaning - We spark joy and curiosity, we feel good about what we do and we want everyone else to feel the same fulfillment Job Description 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. Qualifications - 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. Soft Skills - 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. Additional Information 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: Dailymotion.com New-York office - BuiltIn Offices in France - Welcome to the Jungle Our articles 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) ✅ 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

Responsibilities

You will play a crucial role in bridging the gap between machine learning and engineering. Responsibilities include empowering ML Engineers with tools and infrastructure, accelerating time-to-market for ML products, and managing model operations and maintenance.