We are seeking a Lead MLOps Engineer to head an MVP engagement with a major AAA game publisher, building a test intelligence platform for two game franchises in parallel. A core design principle is full re-derivability and model lineage from day one — every run must be replayable from its stored configuration version and feed read positions. The signal catalog feeds a scoring strategy engine with versioned configurations, and calibration sweeps over historical data produce suggested weight updates surfaced directly in the Settings View.

This role sets the technical direction for the ML and signal components, ensuring they are production-ready, reproducible, and improvable over time, forming the foundation of the system's long-term value as franchise history accumulates and models are refined.

The Lead MLOps Engineer will define standards, mentor engineers, and act as the primary technical authority for all MLOps practices across both franchise workstreams.

Responsibilities

• Define the overall MLOps architecture and strategy for the platform,



establishing standards for reproducibility, lineage, and model lifecycle management across both franchises
• Own Signal Catalogue operations end-to-end: architect signal refresh orchestration triggered by feed read-position advances, define grain translation policies between per-test, per-area, and per-run signal families, and establish provenance capture standards across all 8 signals
• Set the strategy for Semantic Vector Index versioning: partner with the Lead AI Developer on model and dimension stamp conventions; design and govern the controlled reindex path when the enterprise AI gateway model changes
• Architect, deliver, and own the Back-test & Calibration Harness: as-of temporal filtering across all record families, replay runner, look-ahead spot audit, and configuration sweep runner
• Establish and enforce holdout patch-set discipline, define configuration sweep methodology over route limits, thresholds, weights, a

📌 Lead MLOps Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina