Senior MLOps Engineer — Scalable ML Platform

Sigma Software; Województwo mazowieckie; On-site; PLN 260,000 - 380,000; Full time

Job summary

Sigma Software is looking for a Senior MLOps Engineer to build a production-grade ML platform for a large-scale AdTech ecosystem. You will work on infrastructure powering predictive decision‑making systems processing hundreds of millions of auction requests daily.

Join a dedicated engineering team to advance scalable ML orchestration, model lifecycle automation, observability, and real‑time optimization workflows, and influence architecture decisions in a long‑term customer engagement.

Qualifications

• 5+ years of experience in MLOps, ML platform engineering, or infrastructure engineering supporting production ML systems.
• Strong Python skills and experience building platform-level tooling and automation.
• Hands-on production experience with Kubernetes and Docker.

Responsibilities

• Build and maintain ML training orchestration pipelines across hourly, daily, and weekly schedules.
• Implement retries, backfills, and idempotent execution mechanisms.
• Design and support model registry workflows including versioning, lineage, evaluation gates, and promotion processes.
• Develop isolated per-advertiser model environments with namespace and configuration separation.
• Build scalable refresh pipelines and publishing workflows for serving infrastructure.
• Implement shadow mode and champion/challenger deployment strategies.
• Develop monitoring and alerting for ML-specific metrics including feature drift, prediction drift, train/serve skew, and calibration decay.
• Ensure reproducibility of ML workflows using containerized environments, pinned dependencies, and data snapshots.
• Monitor training and scoring costs across tenants.
• Collaborate with DevOps and SRE engineers on CI/CD and infrastructure automation.
• Prepare operational documentation and platform handover materials.

Skills

Python

Kubernetes

Docker

CI/CD

MLflow

Kubeflow

Airflow

Terraform

GCP

Observability

Multi-tenant ML

Tools

MLflow

Kubeflow

Airflow

Vertex AI

Argo Workflows

Terraform

Job description

Sigma Software is looking for a Senior MLOps Engineer to build a production-grade ML platform for a large-scale AdTech ecosystem. You will work on infrastructure powering predictive decision‑making systems processing hundreds of millions of auction requests daily.

Join a dedicated engineering team to advance scalable ML orchestration, model lifecycle automation, observability, and real‑time optimization workflows, and influence architecture decisions in a long‑term customer engagement.