Senior MLOps Engineer — Production ML Platform Architect

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

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) with company match

Pre‑tax FSA and commuter benefits

Flexible PTO

Professional development reimbursement

Employee resource groups

Swag and ticket giveaways

Job summary

BetMGM is seeking a Senior MLOps Engineer to own the production ML platform from model training to scalable endpoints. You will build a self‑service environment enabling data scientists to ship end‑to‑end ML projects with robust CI/CD, drift monitoring, and IaC, across SageMaker and Snowflake ecosystems.

The role requires deep software engineering discipline, experience operating ML in production, and a track record of delivering latency‑aware, cost‑efficient pipelines.

Qualifications

• 5+ years shipping software in production — Python, Docker, Kubernetes or ECS, CI/CD, distributed systems debugging — including time on-call.

Responsibilities

• Stand up and operate BetMGM’s ML platform on AWS (SageMaker Training, Model Registry, Pipelines, Endpoints, Batch Transform) and Snowflake (Snowpark ML, Cortex), with Terraform‑managed infrastructure.

Skills

Python

Docker

Kubernetes

CI/CD

Distributed systems debugging

On-call experience

Education

BS or MS in Computer Science/Math/Statistics/ML or STEM

Tools

SageMaker

Snowflake

Snowpark ML

Cortex

dbt

Terraform

Model Registry

Pipelines

Lambda

ECS

S3

IAM

Job description

BetMGM is seeking a Senior MLOps Engineer to own the production ML platform from model training to scalable endpoints. You will build a self‑service environment enabling data scientists to ship end‑to‑end ML projects with robust CI/CD, drift monitoring, and IaC, across SageMaker and Snowflake ecosystems.

The role requires deep software engineering discipline, experience operating ML in production, and a track record of delivering latency‑aware, cost‑efficient pipelines.