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

Requirements5+ 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 general 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

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

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