Joining a team of engineers working in the Innovation division, you will work hand-in-hand with Researchers and Data Scientists to help develop and productionalize cutting-edge solutions and algorithms.
You will help build and maintain the highly qualitative production environment that involve:
Processing a catalog of hundreds of millions of tracks and scale algorithms to serve millions of users worldwide
Implementing, deploying and maintaining critical machine learning prediction engines for real time performance
Mentoring less senior engineers on these same tasks
What you will do:
Develop and maintain our current and future audio analysis pipeline, where all the audio files in the Deezer catalog is analyzed by cutting-edge machine learning models, implemented in Python and running in Kubernetes
Develop and maintain out current and future data-science APIs in Scala (search, recommendation, business intelligence), and our online prediction endpoints.
Optimise our ML-OPS platform : our data stack for data-scientists and researchers to train, test, deploy and monitor their machine learning models.
Provide tools and technical support for data-scientists and researchers to work on their respective projects efficiently
Actively participate in building the roadmap for the upcoming milestones. This implies interacting with stakeholders from other teams, understanding business needs, and proposing appropriate state of the art architectures
Follow-up and mentor the less senior membres of our group, so it continues to be a tight-knit, effective, competent, enthusiastic and always growing team of engineers
This role is excellent for a person with:
5 years of work experience on similar positions
Experience at scale in production in microservices architecture and MLOps;
Experience with Docker, Kubernetes, REST/RPC/GraphQL APIs in distributed high performance production environments
Experience with messaging solutions like Kafka or RabbitMQ in high performance production environments
Experience with SQL and NoSQL RDBMS
Hands-on experience with modern deployment, provisioning and monitoring tools (Ansible, Terraform, CI/CD, Kibana, Grafana, to name a few)
Fluent in at least one language among Python, Scala or Java;
Hands-on experience with cloud environments (Azure, Google or Amazon)
Strong critical thinking and curiosity, and ability to communicate them efficiently
Fluent in English or French.
If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!
At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding :
Regular Diversity & Inclusion internal and external talks
Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability and LGBTQ+
Multiple e-learnings and mandatory training sessions for all managers
English and French courses for all, so that everyone can connect and feel included
Beyond benefits like health insurance, transportation, we offer you extra perks like:
A Deezer premium family account for free
Access to gym classes
Deezer parties several times a year and drinks every thursday
Allowance for sports, travelling and culture …
Meal vouchers
Great offices always located in dynamic and attractive districts, whether in Paris, London, Berlin or Sao Paulo!
Hybrid remote work policy
If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here !
