Remote MLOps & AI Platform Engineer: Scalable ML Infra

sumersports; United States; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive Salary and Bonus Plan

Comprehensive health insurance plan

Retirement savings plan (401k) with company match

Flexible, unlimited time off policy

Generous paid holiday schedule – 13 in total

Job summary

A sports technology company is seeking an MLOps/ML Platform Engineer to design and manage the machine learning infrastructure. You will optimize models for performance and cost while collaborating with cross-functional teams. Ideal candidates will have 4+ years of experience and deep knowledge of Kubernetes, cloud infrastructure, and Python. This role offers a competitive salary, comprehensive health benefits, and a remote work environment.

Qualifications

• 4+ years of experience in ML platform, DevOps, or infrastructure engineering.
• Hands-on experience managing GPU clusters.
• Strong skills in Python and automation.

Responsibilities

• Design and operate ML infrastructure for model workflows.
• Build scalable pipelines with versioning and artifact tracking.
• Optimize workloads for efficiency and cost.

Skills

Kubernetes

Python

CI/CD

Distributed systems

Cloud infrastructure (AWS, GCP, or Azure)

Machine Learning production

Tools

Delta

Parquet

Spark

Job description

A sports technology company is seeking an MLOps/ML Platform Engineer to design and manage the machine learning infrastructure. You will optimize models for performance and cost while collaborating with cross-functional teams. Ideal candidates will have 4+ years of experience and deep knowledge of Kubernetes, cloud infrastructure, and Python. This role offers a competitive salary, comprehensive health benefits, and a remote work environment.