Lead AI Engineer: Build Scalable ML Pipelines

EPAM Systems; Argentina; Remote; ARS 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Professional development

Global career opportunities

Job summary

EPAM Systems in Argentina seeks a Lead AI Engineer to drive ML systems from concept to production. You will design scalable architectures, build robust pipelines, and partner with cross-functional teams to deliver AI solutions.

The role requires 5+ years in ML engineering, 1+ year leadership, and strong MLOps expertise. Proficiency in PySpark, Python, Kafka, MLflow, and PyTorch is advantageous. Hybrid or on-site options may apply, with global projects and ongoing learning opportunities.

Qualifications

• Over 5 years of experience in machine learning engineering or related field.
• At least 1 year of leadership experience.
• Strong expertise in MLOps practices for overseeing the ML lifecycle.
• Proven background in designing and launching production-grade ML systems.

Responsibilities

• Lead the complete ML lifecycle from problem formulation to monitoring.
• Design scalable ML architectures and robust data pipelines (batch and real-time).
• Collaborate with cross-functional teams to establish KPIs and success metrics.
• Ensure production readiness with optimized latency, scalability, and cost.

Skills

Leadership experience

English proficiency (B2+)

Problem solving

Tools

PySpark

Python

Apache Kafka

MLflow

PyTorch

Job description

EPAM Systems in Argentina seeks a Lead AI Engineer to drive ML systems from concept to production. You will design scalable architectures, build robust pipelines, and partner with cross-functional teams to deliver AI solutions.

The role requires 5+ years in ML engineering, 1+ year leadership, and strong MLOps expertise. Proficiency in PySpark, Python, Kafka, MLflow, and PyTorch is advantageous. Hybrid or on-site options may apply, with global projects and ongoing learning opportunities.