Senior AI Engineer: Scalable ML Pipelines & Production

EPAM Systems; Argentina; A distancia; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

EPAM Systems is seeking 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 include designing batch and real-time data pipelines, handling large-scale structured and unstructured data, and deploying models such as recommendations, forecasting, and classification

Formación

• 3+ years of experience in machine learning engineering or related field.
• Expertise in MLOps for managing the ML lifecycle.
• Proficiency in PySpark and Python for scalable pipelines.
• Experience designing and deploying production-grade ML systems.
• Understanding of batch and real-time data processing architectures.
• English proficiency at B2 level or higher.

Responsabilidades

• Own end-to-end lifecycle of ML systems from problem formulation to deployment and monitoring.
• Design scalable ML architectures and robust data pipelines for large datasets.
• Develop and deploy models such as recommender, forecasting, and classification systems.
• Collaborate with engineering, product, and business teams to define KPIs and success metrics.

Conocimientos

MLOps

PySpark

Python

Large-scale data processing

Production ML systems

English communication

Herramientas

Kafka

MLflow

PyTorch

Descripción del empleo

EPAM Systems is seeking 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 include designing batch and real-time data pipelines, handling large-scale structured and unstructured data, and deploying models such as recommendations, forecasting, and classification