ИИ, Машинное обучение - Варшава
Зарплата competitive $

Who Are We?

Tango is a successful mobile app with over 400 million registered users. Founded in the US, we are a worldwide leader in the live-streaming space. The B2C mobile platform, Tango Live allows millions of talented people around the world to engage with their fans and monetize their talents. 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, and more opening soon! We have a successfully built team of top talented professionals, and we are currently hiring engineers to join our growing Warsaw office.

Job Description

We are looking for an experienced ML Engineer Team Lead, who can lead and design our big data infrastructure, using the most advanced tools on the market. The ideal candidate is a data leader who enjoys building data systems from the ground up while also leading a team of engineers and enabling them to grow.

Responsibilities:

• 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)
• Planning of monitoring and analytics services
• Management of a team containing 5-6 ML engineers, as well as other functions such as Integration Developers and QA
• Collaboration with many partners such as DevOps and Product
• Work in a Google Cloud Platform environment

Requirements:

• 1-3 years of people’s management
• Experience managing a multidisciplinary team- an advantage
• Advanced Python knowledge
• Good understanding of ML principles
• Strong understanding of designing high performance, fault-tolerant distributed software solutions
• Experience creating and optimizing big data processes, pipîelines, 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
• Experience with testing automation
• Experience with DS models product integration

What We Offer

• Office in Poland;
• Stock options grant (we’re a Silicon Valley Company)
• Competitive salary
• Cheerful team spirit and fun office atmosphere

We believe in a culture of growth, learning, and success! If this sounds like you, send us your resume so you can join in on this incredible live streaming trend!