Senior MLOps / ML Platform Engineer
Sigma Software1 day ago
Remote, Poland or Warsaw, PolandSenior
Responsibilities
- Build and maintain hourly, daily, and weekly ML training orchestration pipelines.
- Implement retries, backfills, and idempotent execution mechanisms.
- Design model registry workflows for versioning, lineage, evaluation gates, and promotion.
- Develop isolated per-advertiser model environments with namespace and configuration separation.
- Build refresh pipelines and publishing workflows for serving infrastructure.
- Implement shadow mode and champion/challenger deployment strategies.
- Develop monitoring and alerting for feature drift, prediction drift, train/serve skew, and calibration decay.
- 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 ML platforms and model lifecycle tools such as Vertex AI, MLflow, or Kubeflow.
- Strong understanding of ML observability, including drift detection, train/serve skew monitoring, and incident response.
- Experience designing or supporting multi-tenant ML systems and isolated model environments.
- Experience with cloud platforms, preferably GCP.
- Experience with infrastructure-as-code tools such as Terraform.
- Experience with Linux environments and understanding of the ML lifecycle and productionization processes.
- Upper-Intermediate English level or higher.
- Preferred experience with feature stores, feature consistency management, large-scale batch scoring under freshness SLAs, experiment tracking platforms, evaluation gates, on-premises Kubernetes, or bare-metal Linux infrastructure.
- Preferred knowledge of DVC, lakeFS, Bigtable, Redis, Aerospike, or similar low-latency serving databases.
- Preferred GPU scheduling and training cost optimization experience.
- Familiarity with SOC 2, ISO 27001, or GDPR-related compliance requirements.
- Strong ownership, independent problem-solving, collaboration, communication, analytical thinking, and attention to scalability and maintainability.
Benefits
- Opportunity to work on cutting-edge ML infrastructure projects for a large-scale AdTech ecosystem.
- Collaboration with experienced engineers and influence over architecture decisions.
- Long-term strategic engagement supporting customer ownership of the platform.
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.