Senior MLOps Platform Engineer

BetMGM; Illinois; On-site; USD 135,000 - 170,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

FSAs & commuter benefits

Flexible PTO

Professional development

Job summary

BetMGM is seeking a Senior MLOps Engineer to own the production ML platform, ensuring latency, cost, and reliability budgets are met across batch and real-time inference. You will build a feature store, model registry, and CI/CD for ML while enabling data scientists and ML engineers to ship models end‑to‑end.

The role emphasizes a software‑engineering‑first mindset with distributed systems, observability, on‑call readiness, and a willingness to work with GenAI integrations as needed.

Qualifications

• 5+ years shipping software in production with Python & distributed systems experience.
• 3+ years operating ML in production with latency and cost budgets.

Responsibilities

• Stand up and operate BetMGM’s ML platform on AWS and Snowflake with Terraform‑managed infrastructure.
• Design batch and real‑time inference pipelines with measurable latency and cost targets.
• Build CI/CD for ML including model registry and retraining triggers.
• Monitor drift, data quality, and model performance with standard tooling.

Skills

Python

Docker

Kubernetes

CI/CD

Distributed systems

On-call

Education

BS or MS in CS/Math/Stats/ML

Tools

SageMaker

Snowpark ML

Snowflake

dbt

Terraform

SageMaker Feature Store

Job description

BetMGM is seeking a Senior MLOps Engineer to own the production ML platform, ensuring latency, cost, and reliability budgets are met across batch and real-time inference. You will build a feature store, model registry, and CI/CD for ML while enabling data scientists and ML engineers to ship models end‑to‑end.

The role emphasizes a software‑engineering‑first mindset with distributed systems, observability, on‑call readiness, and a willingness to work with GenAI integrations as needed.