Senior MLOps Engineer: Scale Production ML Platforms

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

Benefits offered by this job

Health insurance

401(k) match

Pre‑tax spending accounts

Flexible PTO

Professional development

Employee groups

Swag & giveaways

Job summary

BetMGM is seeking a Senior MLOps Engineer to own the production ML platform, from model to endpoint, across batch and real-time inference on AWS SageMaker and Snowflake.

You will build self‑service templates, manage drift and quality monitoring, and implement robust deployment patterns to support data scientists and ML engineers. A strong software engineering mindset and on‑call experience are essential.

Qualifications

• BS or MS in Computer Science, Math, Statistics, ML, or related STEM field; PhD not required.
• 5+ years shipping software in production with Python, Docker, Kubernetes/ECS, CI/CD, and on-call experience.
• 3+ years operating ML in production with latency and cost budgets and a runbook.
• Deep AWS SageMaker experience plus Snowflake data stack.
• IaC for ML (Terraform + SageMaker Pipelines) and model registry ownership.

Responsibilities

• Stand up and operate BetMGM’s ML platform on AWS and Snowflake with Terraform‑managed infra.
• Build self‑service scaffolds for end‑to‑end model deployment with CI, drift monitoring, and connectivity.
• Design and operate batch scoring pipelines and real‑time inference paths with strict latency budgets.
• Own feature store with online/offline parity and training‑serving alignment.
• Implement champion/challenger, shadow deployments and canary releases as standard patterns.
• Set up drift detection, data quality and model monitoring with paging to on‑call personnel.
• Optimize endpoint costs, throughput, and autoscaling.

Skills

Python programming

Distributed systems debugging

On-call experience

Software engineering mindset

Collaboration with data scientists

Education

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

Tools

AWS SageMaker

Snowflake

Terraform

Docker

Kubernetes / ECS

CI/CD pipelines

SageMaker Feature Store

dbt

Snowpark ML

Snowflake Cortex

Feast

SageMaker Pipelines

Job description

BetMGM is seeking a Senior MLOps Engineer to own the production ML platform, from model to endpoint, across batch and real-time inference on AWS SageMaker and Snowflake.

You will build self‑service templates, manage drift and quality monitoring, and implement robust deployment patterns to support data scientists and ML engineers. A strong software engineering mindset and on‑call experience are essential.