MLOps / ML Platform Engineer

SumerSports is a football intelligence technology company that provides data-driven products and insights to football fans, NFL clubs, and the NCAA. The MLOps / ML Platform Engineer will design and operate machine learning infrastructure, build scalable training and evaluation pipelines, serve models in production, optimize compute and costs, and ensure system reliability, security, and observability while collaborating with research scientists and AI engineers.

Responsibilities:

• Design and operate ML infrastructure: Manage data, training, serving, and inference systems for high-throughput model workflows
• Build scalable pipelines: Implement reproducible training and evaluation pipelines with versioning, scheduling, and artifact tracking
• Optimize compute and cost: Tune GPU and CPU workloads, manage clusters, and drive efficiency via rightsizing, spot scheduling, and caching
• Serve models in production: Operate APIs for low-latency inference with autoscaling, blue-green or canary rollouts, and rollback safety
• Ensure reliability and observability: Define and own SLOs; instrument pipelines and services to track latency, cost, drift, and data quality
• Secure and automate: Manage IAM, secrets, and container security; automate deployment pipelines via CI/CD and infrastructure as code
• Collaborate cross-functionally: Partner with research scientists and AI engineers to deliver models from experiment to production with minimal friction
• Document and enable: Build templates, runbooks, and internal tooling that make ML workflows repeatable, safe, and fast