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 seeking a Senior AI Engineer to own the end-to-end lifecycle of ML systems, from problem formulation and data collection through model training, deployment, and monitoring. This role involves designing scalable architectures and deploying production-grade models across a variety of use cases while collaborating closely with cross-functional teams.

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 building and deploying ML systems in production environments
- Expertise in designing scalable ML architectures, including batch and real-time pipelines
- Proficiency in working with large-scale structured and unstructured datasets, including clickstream, transactional, text, and image data
- Experience developing recommendation systems, ranking models, forecasting models, and classification/regression systems
- Knowledge of deep learning techniques including neural networks, transformers, and representation learning
- Skills in building and maintaining feature stores, model registries, and experiment tracking systems
- Understanding of production readiness considerations such as latency optimization, scalability, reliability, and cost efficiency
- Capability to collaborate with engineering, product, and business teams to define KPIs and success metrics
- English proficiency at B2 level or higher

We offer

- International projects with top brands
- Work with integral 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.

📌 Senior AI Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia