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 Linked

In Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

InEPAM 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. #J-18808-Ljbffr

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