Senior MLOps / ML Platform Engineer
Sigma Software5 hours ago
Remote, Poland or Kraków, PolandSenior
Responsibilities
- Build and maintain scheduled ML training orchestration pipelines with retries, backfills, and idempotent execution.
- Develop model registry, versioning, lineage, evaluation-gate, promotion, refresh, and publishing workflows.
- Design isolated per-advertiser model environments and scalable multi-tenant ML infrastructure.
- Implement shadow-mode and champion/challenger deployment strategies for serving systems.
- Develop ML observability for feature drift, prediction drift, train/serve skew, calibration decay, and operational incidents.
- Ensure reproducibility 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.
Requirements
- 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 experience with Kubernetes and Docker.
- Experience building CI/CD pipelines for ML workloads.
- Production experience with MLflow, Kubeflow, Airflow, Argo Workflows, Vertex Pipelines, or similar ML orchestration and lifecycle platforms.
- Experience with cloud platforms, preferably GCP, and infrastructure-as-code tools such as Terraform.
- Strong understanding of ML observability, drift detection, train/serve skew monitoring, incident response, and the ML production lifecycle.
- Experience designing or supporting multi-tenant ML systems and isolated model environments.
- Experience working with Linux environments.
- Upper-Intermediate English level or higher.
- Preferred experience with feature stores, feature consistency management, large-scale batch scoring, experiment tracking, evaluation gates, on-premises Kubernetes, bare-metal Linux, DVC, lakeFS, Bigtable, Redis, Aerospike, GPU scheduling, training cost optimization, and SOC 2, ISO 27001, or GDPR-related compliance.
Benefits
- Opportunity to work on cutting-edge ML infrastructure for a large-scale AdTech ecosystem.
- Collaboration with experienced engineers and influence over architecture decisions in a long-term strategic engagement.
- The project is designed for long-term customer ownership and combines large-scale ML infrastructure, multi-tenant architecture, model lifecycle automation, and observability.
Tech Stack
Categories
About Sigma Software
Sigma Software is a London-headquartered, privately held IT consultancy that designs and builds custom software for startups and enterprises. The company provides end-to-end services—engineering, web and mobile development, .NET/Java platforms, AR/VR, and UI/UX—delivered via outsourcing, managed teams, and consulting. Founded in 2002, it supports long-term product development and modernization projects across multiple industries for global clients.