We are looking for a Senior AI Engineer to own the end-to-end lifecycle of machine learning systems, from problem formulation to production deployment. You will design scalable ML architectures, build robust pipelines, and collaborate across teams to deliver impactful AI-driven solutions.

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 machine learning engineering or a related field
- Expertise in MLOps practices for managing the ML lifecycle
- Proficiency in PySpark and Python for building scalable data and ML pipelines
- Background in designing and deploying production-grade ML systems
- Understanding of batch and real-time data processing architectures
- Experience working with large-scale structured and unstructured datasets
- English proficiency at B2 level or higher

Nice to have

- Familiarity with Apache Kafka and MLflow
- Knowledge of Machine Learning and PyTorch

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 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

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