Informacje o stanowisku

An online platform that connects people and gives them the opportunity to communicate via live steam. 

The platform combines the highest-quality live video streaming and messaging, user-generated content such as games and music, and a digital economy to support it all.

At Tango, we work hard to achieve our goal to become the #1 app for livestream content. If you are an overachiever and eager to succeed, help us continue to grow and redefine the exciting Live Streaming space.

Tango is a fully transparent and profitable company with offices around the world!

What you’ll do:

• Architecture of an ML platform, lifecycle management, orchestration and processes
• Design data pipelines (automation of collecting, structuring and cleaning data for training and assessing the quality of models)
• Plan and implement monitoring and analytics services to track the performance and behavior of ML models
• Collaboration with Data Science and DevOps teams
• Work in a Google Cloud Platform environment

What skills and experience are required for this job:

• 3+ years of experience as a Software Engineer, including a minimum of 3 years in a dedicated role as a Machine Learning Engineer
• Advanced Python knowledge
• Advanced SQL knowledge for data manipulation and analysis
• Understanding of 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 Apache Beam
• 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:

• 3+ years developing data engineering solutions using public cloud solutions Google Cloud Platform/AWS/Azure or on-premise distributions
• Experience with testing automation
• Experience with DS models product integration

What we offer:

• Stock options grant (we’re a Silicon Valley Company)
• Medical insurance for you and 75% off for your relatives
• Free lunches and dinners
• Parking
• Polish and English classes
• Multisport card
• Cheerful team spirit and fun office atmosphere

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