Position: Senior ML Engineer / MLOps
Company: Onseo
Category: Python
Experience required: 3y
English level: upper

We are looking for a professional marketer who can complement our team and help the Live Streaming service to continue growing.
We are looking for an experienced ML Engineer to join our team. You will be responsible for building and designing our big data infrastructure, using the most advanced tools on the market. The ideal candidate is a data enthusiast who enjoys building data systems from the ground up and maintaining their integrity, dealing with high loads.Your day-to-day responsibilities will include:

Development of a platform for ML lifecycle management, orchestration and processes
Development and support of data pipelines (automation of collecting, structuring and cleaning data for training and assessing the quality of models)
Development of monitoring and analytics services
Work in Google Cloud Platform environment

Requirements:
Advanced Python knowledge
Understanding ML principles
Strong understanding of designing high performance, fault-tolerant distributed software solutions
Experience creating and optimizing big data processes, pipelines, and architectures
Experience in streaming technologies like Spark streaming or Dataflow
Experience with Asynchronous messaging using Pub/Sub, Kafka, RabbitMQ, or alike
Familiarity with containerization technologies such as Docker and Kubernetes
Knowledge of CI/CD tools and processes such as Git, GitLab and Jenkins
Experience working with both relational and non-relational databases (BigQuery, BigTable, MySQL, Redis)
Familiarity with Unix/Linux OS and shell scripts
Strong organizational skills
Would be a plus:

5+ years developing data engineering solutions using public cloud solutions Google Cloud Platform/AWS/Azure or on-premise distributions

We offer:
Stock options grant (we’re a Silicon Valley Company)
Competitive salary
Medical insurance for you and 75% off for your relatives
Free lunches and dinners
Parking and Sport compensation
Relocation package
An option to work in hybrid mode, i.e. remotely 2-3 days per week
Comfortable office in the historical center
Challenging tasks, cheerful team spirit and fun office atmosphere!