Senior AI Engineer: End-to-End ML & Production Systems

EPAM Systems; Colombia; Remote; COP 120,000,000 - 210,000,000; Full time

Job summary

EPAM Systems, Inc. in Colombia seeks a Senior AI Engineer to own the end-to-end lifecycle of ML systems—from problem framing to data collection, training, deployment and monitoring.

You will design scalable architectures, work with large-scale datasets (clickstream, transactional, text, image), and develop models such as recommendations, ranking, forecasting, and classification, while ensuring production readiness and cost efficiency.

Qualifications

• 3+ years of experience building and deploying ML systems in production.
• Experience designing scalable ML architectures with batch and real-time pipelines.
• Experience with large-scale structured and unstructured data (clickstream, transactional, text, and image).
• Experience developing recommendation systems, ranking models, forecasting models, and classification/regression models.
• Knowledge of deep learning techniques including neural networks, transformers, and representation learning.
• Experience building feature stores, model registries, and experiment tracking.
• Understanding latency, scalability, reliability, and cost efficiency in production environments.
• Ability to collaborate with engineering, product, and business teams to define KPIs and success metrics.
• English proficiency at B2 level or higher.

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.

Skills

ML architecture design

Real-time pipelines

Batch pipelines

Data processing

Cross-functional collaboration

KPI definition

Tools

Feature stores

Model registries

Experiment tracking

Job description

EPAM Systems, Inc. in Colombia seeks a Senior AI Engineer to own the end-to-end lifecycle of ML systems—from problem framing to data collection, training, deployment and monitoring.

You will design scalable architectures, work with large-scale datasets (clickstream, transactional, text, image), and develop models such as recommendations, ranking, forecasting, and classification, while ensuring production readiness and cost efficiency.