We are looking for a Lead AI Engineer to drive end-to-end ML delivery, from problem framing and data sourcing to deployment and monitoring. You will design scalable batch and real-time ML architectures, ship production-grade models across multiple use cases, and partner with engineering, product, and business stakeholders to define KPIs and outcomes.

Responsibilities

- Lead the full ML system lifecycle: problem formulation, data collection, feature engineering, model training, evaluation, deployment, and monitoring
- Design and implement scalable ML architectures that support batch and real-time pipelines
- Handle large-scale structured and unstructured datasets including clickstream, transactional, text, and image data
- Build and ship models such as recommendation systems, ranking models, forecasting models, and classification/regression systems
- Apply deep learning methods including neural networks, transformers, and representation learning when appropriate
- Create and maintain feature stores, model registries, and experiment tracking systems
- Ensure production readiness by optimizing latency, scalability, reliability, and cost efficiency
- Partner with engineering, product, and business teams to define KPIs and success metrics

Requirements

- 5+ years of experience building and deploying ML systems in production environments
- Hands-on expertise designing scalable ML architectures, including batch and real-time pipelines
- Strong ability to work with large-scale structured and unstructured datasets, including clickstream, transactional, text,



and image data
- Demonstrated experience developing recommendation systems, ranking models, forecasting models, and classification/regression systems
- Deep understanding of deep learning techniques including neural networks, transformers, and representation learning
- Practical skills building and maintaining feature stores, model registries, and experiment tracking systems
- Solid knowledge of production readiness topics such as latency optimization, scalability, reliability, and cost efficiency
- Proven collaboration skills with engineering, product, and business teams to define KPIs and success metrics
- English proficiency at B2 (Upper-Intermediate) level or higher

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
- General 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.

📌 Lead AI Engineer (Chile)
🏢 EPAM Systems
📍 Chile