Senior MLOps Engineer: Reproducible ML for AAA Games

EPAM Systems

México

On-site

MXN 900,000 - 1,500,000

Full time

21 hours ago
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Benefits offered by this job

Healthcare benefits
Global career opportunities
Paid time off and sick leave
Upskilling and certification courses
LinkedIn Learning access
Volunteer and community involvement

Job summary

EPAM Systems seeks a Senior MLOps Engineer to join an MVP engagement with a major AAA game publisher, building a test intelligence platform for two game franchises. The role focuses on production-ready ML components, reproducibility, and lineage from day one.

Responsibilities include signal catalogue operations, model/versioning initiatives, and calibration harness development to ensure scalable, auditable ML workflows across platforms.

Qualifications

  • 3+ years of experience in MLOps or ML platform engineering.
  • Expertise in ML model lifecycle management, including versioning, configuration management, and rollback.
  • Proficiency in Python and SQL for ML pipeline automation.

Responsibilities

  • Own Signal Catalogue operations and provenance capture across all 8 signals.
  • Coordinate with Senior AI Developer on model/dimension stamp conventions; manage reindexing pathways.
  • Design, implement, and maintain back-test and calibration harness with as-of temporal filtering.
  • Enforce holdout discipline and configuration sweeps; publish winning configurations as weight proposals.
  • Lead systematic experimentation framework for scoring strategy configurations and trade-offs.
  • Maintain model lineage across configuration versions for both franchises.
  • Implement MLOps Monitor and Data-Health Monitor for drift and data health telemetry.
  • Support exploration cadence with unbiased random-sample injection and provenance.
  • Contribute to operator runbooks covering signal refresh, calibration campaigns, and embedding reindex procedures.

Skills

MLOps
ML lifecycle management
Python
SQL
Data pipelines
Model monitoring
Cross-functional collaboration

Tools

MLflow
Kubeflow
Snowflake ML
Snowpark
pgvector

Job description

EPAM Systems seeks a Senior MLOps Engineer to join an MVP engagement with a major AAA game publisher, building a test intelligence platform for two game franchises. The role focuses on production-ready ML components, reproducibility, and lineage from day one.

Responsibilities include signal catalogue operations, model/versioning initiatives, and calibration harness development to ensure scalable, auditable ML workflows across platforms.

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