Senior MLOps Platform Engineer: Real-Time ML at Scale

Sigma Software; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Sigma Software is seeking a Senior MLOps Engineer to help 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.

You will contribute to scalable ML orchestration, model lifecycle automation, observability, and real-time optimization workflows, collaborating with DevOps and SRE to drive CI/CD and infrastructure automation.

Qualifications

• 5+ years of MLOps, ML platform engineering, or production ML infrastructure experience.
• Strong Python skills and automation focus.
• Hands-on experience with Kubernetes and Docker.
• Experience building CI/CD pipelines for ML workloads.
• Familiarity with ML observability and drift monitoring.
• Experience with multi-tenant ML systems and isolated environments.

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 metrics including drift and calibration decay.
• Ensure reproducibility of ML workflows with containerized environments and data snapshots.
• Collaborate with DevOps and SRE on CI/CD and infra automation.
• Prepare operational documentation and platform handover materials.

Skills

Strong Python skills

Excellent collaboration and comms

Problem solving and scalability focus

Tools

Kubernetes

Docker

Terraform

MLflow

Kubeflow

Airflow

Argo Workflows

Vertex Pipelines

Vertex AI

Job description

Sigma Software is seeking a Senior MLOps Engineer to help 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.

You will contribute to scalable ML orchestration, model lifecycle automation, observability, and real-time optimization workflows, collaborating with DevOps and SRE to drive CI/CD and infrastructure automation.