Lead MLOps Architect for Game AI Platform

EPAM Systems; México; Remote; MXN 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off & sick leave

Upskilling & certification courses

LinkedIn Learning access

Job summary

EPAM Systems, Inc. is seeking a Lead MLOps Engineer to head an MVP engagement for two game franchises. The role focuses on building a reproducible, replayable test intelligence platform with versioned configurations and lineage from day one.

You will set standards for ML lifecycle management, oversee signal catalogue operations, and drive calibration, back-testing, and experimentation across teams. Strong leadership and cross-functional collaboration are essential.

Qualifications

• 5+ years in MLOps or ML platform engineering with end-to-end initiatives.
• Strong experience in ML model lifecycle management, versioning, configuration, and rollback.
• Expertise in building signal computation pipelines, provenance capture, and grain translation.

Responsibilities

• Define MLOps architecture and strategy for reproducibility, lineage, and lifecycle management across two franchises.
• Own signal catalogue operations end-to-end and establish provenance capture standards.
• Architect and deliver the back-test & calibration harness with as-of temporal filtering and replay capabilities.
• Lead model generation & experimentation strategy and govern versioning and auditability across configurations.
• Mentor engineers, review designs, and represent MLOps in cross-team architecture discussions.

Skills

MLOps leadership

Python

SQL

Model lifecycle

Calibration methods

Drift detection

Cross-functional collaboration

Mentorship

Tools

Snowflake ML

Snowpark

pgvector

Job description

EPAM Systems, Inc. is seeking a Lead MLOps Engineer to head an MVP engagement for two game franchises. The role focuses on building a reproducible, replayable test intelligence platform with versioned configurations and lineage from day one.

You will set standards for ML lifecycle management, oversee signal catalogue operations, and drive calibration, back-testing, and experimentation across teams. Strong leadership and cross-functional collaboration are essential.