Senior AI Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Senior AI Engineer to own the end-to-end lifecycle of machine learning systems, from problem formulation to production deployment. You will design scalable ML architectures, build robust pipelines, and collaborate across teams to deliver impactful AI-driven solutions.

Responsibilities

• Own end-to-end lifecycle of ML systems: problem formulation, data collection, feature engineering, model training, evaluation, deployment, and monitoring
• Design and implement scalable ML architectures including batch and real-time pipelines
• Work with large-scale structured and unstructured datasets such as clickstream, transactional, text, and image data
• Develop and deploy models such as recommendation systems, ranking models, forecasting models, and classification/regression systems
• Apply deep learning techniques including neural networks, transformers, and representation learning where appropriate
• Build and maintain feature stores, model registries, and experiment tracking systems
• Ensure production readiness through latency optimization, scalability, reliability, and cost efficiency
• Collaborate with engineering, product, and business teams to define KPIs and success metrics

Requirements

• 3+ years of experience in machine learning engineering or a related field
• Expertise in MLOps practices for managing the ML lifecycle
• Proficiency in PySpark and Python for building scalable data and ML pipelines
• Background in designing and deploying production-grade ML systems
• Understanding of batch and real-time data processing architectures
• Experience working with large-scale structured and unstructured datasets
• English proficiency at B2 level or higher

Nice to have

• Familiarity with Apache Kafka and MLflow
• Knowledge of Machine Learning and PyTorch

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.