We are seeking a Lead AI Engineer to manage machine learning systems from initial concept through to production launch. This role involves designing scalable ML architectures, building robust pipelines, and working with cross-functional teams to deliver effective AI solutions.
Responsibilities
- Manage the complete ML systems lifecycle, covering problem formulation, data collection, feature engineering, model training, evaluation, deployment, and monitoring
- Create and implement scalable ML architectures, including both batch and real-time pipelines
- Handle large-scale structured and unstructured datasets, such as clickstream, transactional, text, and image data
- Build and launch models like recommendation systems, ranking models, forecasting models, and classification/regression systems
- Utilize deep learning methods, including neural networks, transformers, and representation learning, as needed
- Establish and maintain feature stores, model registries, and experiment tracking systems
- Guarantee production readiness by optimizing for latency, scalability, reliability, and cost efficiency
- Partner with engineering, product, and business teams to establish KPIs and success metrics
Requirements
- Over 5 years of experience in machine learning engineering or a related discipline
- At least 1 year of applicable leadership experience
- Strong expertise in MLOps practices for overseeing the ML lifecycle
- Skilled in PySpark and Python for developing scalable data and ML pipelines
- Proven background in designing and launching production-grade ML systems
- Solid understanding of batch and real-time data processing architectures
- Experience handling large-scale structured and unstructured datasets
- English language skills at a B2 level or above
Nice to have
- Experience with Apache Kafka and MLflow
- Knowledge of machine learning concepts 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.
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