Lead Machine Learning Engineer - Data&AI team

About the role:

We are looking for a creative and experienced Lead Machine Learning Engineer to join our dedicated Data&AI team. You will have access to huge data sets and an opportunity to create innovative ML solutions at the global level. 

Our technical stack: 

• We write our ML code in Python;

• We use MLflow and DVC for experiments and data versioning;

• We rely on BigQuery and PostgreSQL for data warehousing;

• When it comes to scheduling ML pipelines, we use orchestration frameworks like Airflow and Kubernetes.

What you'll be doing: 

• Lead a team of senior engineers and data scientists;

• Develop and deploy new machine learning algorithms;

• Analyze the performance of current ML solutions and identify opportunities to improve;

• Continuously improve delivery processes. This involves identifying bottlenecks, removing obstacles, and optimizing the team’s workflow;

• Provide technical leadership, helping to elevate the quality of work across the team;

• Collaborate cross-functionally to share findings and guide product development.

About you:

• 5+ years of experience in Data Science or Machine Learning Engineering, with at least 1 year in a lead role;

• Deep understanding of ML algorithms and optimization methods;

• Strong practical knowledge of Python and SQL;

• Understanding of Agile principles/experience as a Scrum Master;

• Working knowledge of how to put ML models into production from research to deployment.