Position: Senior ML Engineer / MLOps
Company: Tango Me
Experience required: 3y
Category: Python
English level: intermediate
Published: 2022-01-01T00:00:00+02:00

Tango is a privately-held company headquartered in Mountain View, California with an attractive option/stock plan. Our platform allows thousands of talented people all around the world to find fans and monetize talents. We are looking for Senior Machine Learning Engineer to join our team and help the Live Streaming service to continue growing.
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
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!