ML/AI Engineer - Classical ML

What You'll Be Doing:

The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.

The key duties are:

• Develop and maintain production ML pipelines using Python and Spark/PySpark.
• Build, deploy, and support MLbased recommendation systems and ranking models.
• Work with Databricks and Unity Catalog for data and ML workflows.
• Use MLflow for experiment tracking and model lifecycle management.
• Monitor model performance and identify data drift and model drift.
• Implement model governance and production monitoring practices.
• Work with SQL and structured data to support ML solutions.
• Collaborate with data engineers, data scientists, and stakeholders to deliver reliable ML solutions.

What We're Looking For:

• Minimum 6 years of relevant experience in machine learning engineering or a related role.
• Strong Python programming skills.
•  Mandatory handson experience with Databricks.
• Practical experience with production ML pipelines.
• Handson experience with Spark/PySpark.
• Experience with production recommendation systems.
• Knowledge of MLflow and model lifecycle management.
• Understanding of model monitoring, data drift, model drift, and model governance.
• Strong SQL skills.
• Experience with LightGBM (LGBM), XGBoost, or other gradientboosting algorithms.
• Experience with Unity Catalog.
• Familiarity with star schema and data warehousing concepts.
• Experience with ranking and personalization models.

We Offer:

Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
100% remote.
Flexibility regarding working hours.
Full-time position
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemy learning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.