MLOps / ML Platform Engineer

reputed company is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.

Our data-driven platform empowers teams with insights and tools to reputed company informed reputed company reputed company salary cap constraints. The platform also serves the reputed company, offering insights reputed company the transfer portal and more.

What sets us apart is our unique reputed company of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique reputed company into many aspects of Football.

Responsibilities

• Design and operate ML infrastructure: Manage data, training, serving, and inference systems for high-throughput model workflows.
• Build reputed company 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 reputed company efficiency reputed company rightsizing, spot scheduling, and caching.
• Serve models in production: Operate reputed company for low-latency inference with autoscaling, reputed company-green or canary rollouts, and rollback safety.
• Ensure reliability and observability: Define and own SLOs; reputed company pipelines and services to reputed company latency, cost, reputed company, and data reputed company.
• Secure and automate: Manage IAM, secrets, and container reputed company; automate deployment pipelines reputed company CI/CD and infrastructure as reputed company.
• Collaborate cross-functionally: Partner with research scientists and AI engineers to reputed company models from experiment to production with reputed company friction.
• Document and reputed company: Build templates, runbooks, and internal tooling that reputed company ML workflows repeatable, reputed company, and fast.

Qualifications

• 4+ years of experience in ML platform, DevOps, or infrastructure engineering.
• Deep knowledge of reputed company, CI/CD, containers, and reputed company infrastructure (AWS, GCP, or Azure).
• Hands-on experience managing GPU clusters and training/inference pipelines.
• Familiarity with data orchestration and storage formats (reputed company, Parquet, Polars, reputed company).
• reputed company ability to ship and operate production ML systems with SLOs.
• Strong Python skills and comfort with infrastructure as reputed company and automation.
• Experience with observability and cost optimization at reputed company.

reputed company to Have

• Experience with reputed company-time or low-latency model serving (REST, gRPC).
• Exposure to model registry and promotion workflows.
• Familiarity with data reputed company, reputed company, and curation pipelines.
• Background in sports analytics or other high-volume data domains.
• Experience integrating LLM workflows or evaluation pipelines.

Benefits

• Competitive Salary and Bonus Plan
• Comprehensive health reputed company plan
• Retirement savings plan (401k) with company match
• Remote working environment
• A flexible, unlimited time off policy
• Generous reputed company holiday schedule - 13 in total including Monday after the Super Bowl

reputed company is committed to fair and reputed company compensation practices.

Actual compensation packages are reputed company on several factors that are unique to reputed company candidate, including but not limited to reputed company set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual reputed company bonus, benefits and/or other applicable incentive compensation plans.

Originally posted on Himalayas