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We are seeking a Senior Machine Learning Engineer to architect, develop, and optimize ML-driven systems that intelligently recommend user-generated content and enhance engagement.
You will create scalable machine learning pipelines and oversee advanced deployments in a high-performance environment suitable for real-time data processing.
Responsibilities
- Design high-performance machine learning pipelines using both online and offline feature engineering
- Implement advanced machine learning models leveraging Python and TensorFlow
- Optimize inference workflows for low-latency, real-time data like player telemetry
- Orchestrate machine learning processes with MLflow
- Integrate datasets through ETL/ELT workflows on Databricks
- Monitor, debug, and refine production ML systems for optimal performance
- Automate scalable feature engineering and model deployment solutions
- Collaborate with interdisciplinary teams to align machine learning with overall system goals
- Utilize Databricks for effective dataset management and computational processes
- Establish best practices for scalable and maintainable machine learning systems
Requirements
- 3+ years of experience creating machine learning pipelines and products
- Proficiency in Databricks, MLflow, TensorFlow
- Skills in Python for machine learning and data engineering workflows
- Background in ETL/ELT platforms, with competency in large-scale integrations
- Understanding of real-time data processing and low-latency system requirements
- Capability to structure and improve online and offline feature engineering workflows
- Knowledge of ML model lifecycle management and tuning pipeline performance
- Competency in designing scalable, efficient ML solutions for complex scenarios
- English level of minimum B2 (Upper-Intermediate) to ensure effective communication
Nice to have
- Expertise in recommender systems for advancing content personalization and discovery
- Capability to deploy machine learning processes on AWS infrastructure
- Proficiency in leveraging real-time analytics or telemetry-focused data solutions
We offer
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Seniority level
Employment type
Job function
- Engineering, Information Technology, and Research
Industries
- Software Development, IT Services and IT Consulting, and Technology, Information and Internet
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