Senior MLOps Platform Engineer Real-Time AdTech

Sigma Software; Warszawa; On-site; PLN 180,000 - 320,000; Full time

Job summary

Sigma Software is seeking a Senior MLOps Engineer to join our team and build a production-grade ML platform for a large-scale AdTech ecosystem. You will work on infrastructure powering predictive decision-making systems that process hundreds of millions of auction requests daily.

You will contribute to scalable ML orchestration, model lifecycle automation, observability, and real-time optimization workflows.

Qualifications

• 5+ years of experience in MLOps or ML platform engineering.
• Strong Python skills and experience building automation tooling.
• Hands-on production experience with Kubernetes and Docker.
• Experience with cloud providers, preferably GCP, and Terraform.
• Familiarity with ML lifecycle tools like MLflow, Kubeflow, or Vertex AI.

Responsibilities

• Build and maintain ML training orchestration pipelines across hourly, daily, and weekly schedules
• 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
• Collaborate with DevOps and SRE on CI/CD and infrastructure automation
• Monitor ML-specific metrics such as feature drift and calibration decay

Skills

Python

Kubernetes

Docker

CI/CD

ML platforms

Terraform

Linux

GCP

Multi-tenant

Observability

Tools

MLflow

Kubeflow

Airflow

Argo Workflows

Vertex Pipelines

Terraform

Job description

Sigma Software is seeking a Senior MLOps Engineer to join our team and build a production-grade ML platform for a large-scale AdTech ecosystem. You will work on infrastructure powering predictive decision-making systems that process hundreds of millions of auction requests daily.

You will contribute to scalable ML orchestration, model lifecycle automation, observability, and real-time optimization workflows.