
MLOps / ML Platform Engineer
SumerSports LLC2 months ago
Remote, CanadaMid Level
Responsibilities
- Design and operate infrastructure for ML data, training, serving, and inference workflows.
- Build reproducible training and evaluation pipelines with versioning, scheduling, and artifact tracking.
- Manage GPU and CPU workloads and clusters while optimizing cost through rightsizing, spot scheduling, and caching.
- Operate low-latency production model-serving APIs with autoscaling, blue-green or canary deployments, and rollback safety.
- Define and own SLOs and implement observability for latency, cost, model drift, and data quality.
- Manage IAM, secrets, and container security, and automate deployments with CI/CD and infrastructure as code.
- Partner with research scientists and AI engineers to move models from experimentation into production.
- Build templates, runbooks, and internal tooling to make ML workflows repeatable, safe, and efficient.
Requirements
- 4+ years of experience in ML platform, DevOps, or infrastructure engineering.
- Deep knowledge of Kubernetes, CI/CD, containers, and cloud infrastructure such as AWS, GCP, or Azure.
- Hands-on experience managing GPU clusters and training and inference pipelines.
- Familiarity with data orchestration and storage formats including Delta, Parquet, Polars, and Spark.
- Proven ability to ship and operate production ML systems with SLOs.
- Strong Python skills and experience with infrastructure as code and automation.
- Experience with observability and cost optimization at scale.
- Experience with real-time or low-latency model serving, including REST or gRPC, is preferred.
- Exposure to model registry and promotion workflows is preferred.
- Familiarity with data quality, lineage, and curation pipelines is preferred.
- Background in sports analytics or other high-volume data domains is preferred.
- Experience integrating LLM workflows or evaluation pipelines is preferred.
Benefits
- Competitive salary and bonus plan; compensation varies based on skills, experience, certifications, and work location.
- Comprehensive health insurance plan.
- 401(k) retirement savings plan with company match.
- Remote working environment.
- Flexible, unlimited time off policy.
- 13 paid holidays, including the Monday after the Super Bowl.