Senior MLOps Engineer for Game AI Platform

EPAM Systems; Colombia; On-site; COP 120,000,000 - 210,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certifications

Global career opportunities

Employee resource groups

Job summary

EPAM Systems is seeking a Senior MLOps Engineer to join an MVP engagement for a major AAA game publisher. You will build a test intelligence platform for two game franchises with a focus on replayable configurations, versioned signals, and calibration-driven weight updates in the Settings View.

You will lead productionization of ML components, ensure reproducibility, and drive long-term value as models and data mature.

Qualifications

• 3+ years in MLOps or ML platform engineering.
• Expertise in ML model lifecycle management, including versioning and rollback.
• Background in signal computation pipeline design and provenance capture.

Responsibilities

• Own Signal Catalogue operations, including refresh orchestration and provenance capture across signals.
• Coordinate model/dimension stamp conventions with AI team; manage reindex path when gateway model changes.
• Design and maintain the Back-test & Calibration Harness with temporal filtering and replay runner.
• Enforce holdout patch-set discipline and configuration sweeps with tracking of catch-rate vs. scope.
• Lead Model Generation & Experimentation across score configurations and publication of winning proposals.
• Maintain model lineage across configuration versions for both franchises.
• Implement MLOps Monitor and Data-Health Monitor for run drift and ingestion telemetry.
• Support exploration cadence with unbiased random-sample injections and provenance.
• Contribute to operator runbooks covering signal refresh, calibration campaigns, and embedding reindex procedures.

Skills

MLOps

ML lifecycle

Signal pipeline

Calibration

Experimentation

Tools

MLflow

Kubeflow

Snowflake ML

Snowpark

pgvector

Job description

EPAM Systems is seeking a Senior MLOps Engineer to join an MVP engagement for a major AAA game publisher. You will build a test intelligence platform for two game franchises with a focus on replayable configurations, versioned signals, and calibration-driven weight updates in the Settings View.

You will lead productionization of ML components, ensure reproducibility, and drive long-term value as models and data mature.