Senior Machine Learning Operations Engineer

BetMGM LLC; New Jersey; On-site; USD 135,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, Vision, Life, and Disability Insurance

401(k) with company match

Flexible paid time off

Job summary

BetMGM LLC is seeking a Senior MLOps Engineer to lead the ML operations platform, utilizing AWS and Snowflake for managing models in production. This role offers the opportunity to build CI/CD pipelines and design efficient scoring pipelines and inference paths.

A successful candidate will have a strong background in software engineering, a BS or MS degree in a relevant field, and at least 5 years of experience in software production. The position offers a competitive salary range of $135,000 to $170,000 and eligibility for performance-based bonuses.

Qualifications

• 5+ years shipping software in production.
• 3+ years operating ML in production with real traffic.
• Deep AWS knowledge including SageMaker.

Responsibilities

• Stand up and operate BetMGM's ML platform on AWS.
• Design and operate batch scoring pipelines and real‑time inference paths.
• Build CI/CD pipelines and implement deployment patterns.

Skills

Python

Docker

Kubernetes

CI/CD

Distributed systems debugging

AWS Knowledge

Snowflake Fluency

Terraform

Education

BS or MS in Computer Science or related STEM field

Tools

Terraform + SageMaker Pipelines

Evidently

Arize

SageMaker Model Monitor

Job description

Benefits

• Medical, Dental, Vision, Life, and Disability Insurance
• 401(k) with company match
• Pre‑tax spending accounts (health care FSA and commuter savings)
• Flexible paid time off
• Professional development reimbursement and ongoing skills training opportunities
• Employee resource groups
• Swag, ticket giveaways, and more

About the Role

The Senior MLOps Engineer treats ML systems as software systems and owns the path from a trained model to a production endpoint that meets its latency, cost, and reliability budgets—across both batch scoring and real‑time inference.

They build the platform that data scientists and ML engineers ship on: feature store with guaranteed online/offline parity, model registry, CI/CD for ML, drift and quality monitoring, champion‑challenger and shadow deployment scaffolding.

Responsibilities

• ML Production Platform – Stand up and operate BetMGM's ML platform on AWS and Snowflake with Terraform‑managed infrastructure, build self‑service scaffolds for data scientists.
• Batch and Real‑Time Inference – Design and operate batch scoring pipelines and real‑time inference paths with SLAs for freshness, cost, and latency.
• CI/CD and Deployment Patterns – Build CI/CD pipelines, implement champion‑challenger, shadow deployments, and canary releases.
• Monitoring, Drift & Reliability – Set up drift detection, data quality, model performance monitoring, and incident response with paging routes.
• Cost and Performance – Right‑size endpoints, batch caching, request batching, autoscaling, and meet cost‑per‑prediction targets.
• GenAI Integration (Optional) – Integrate LLM APIs into production paths.
• AI in the Engineering Loop – Direct AI coding agents across infrastructure code and model‑serving glue.
• Collaboration – Partner with data engineering, analytics partners, Entain India, and contractor ML partners.

Qualifications

• BS or MS in Computer Science, Math, Statistics, Machine Learning, or related STEM field (or equivalent experience). PhD is not required.
• 5+ years shipping software in production: Python, Docker, Kubernetes or ECS, CI/CD, distributed systems debugging, on‑call experience.
• 3+ years operating ML in production with real traffic, latency, cost budgets, and runbooks.
• Deep AWS knowledge (SageMaker, IAM, Lambda, ECS, S3, Secrets Manager, VPC).
• Snowflake fluency (Snowpark ML, Cortex, dbt, RBAC).
• IaC for ML: Terraform + SageMaker Pipelines or equivalent.
• Feature store experience with online/offline parity.
• Champion/challenger, shadow, and canary deployment patterns in production.
• Drift and model monitoring tools (Evidently, Arize, WhyLabs, or SageMaker Model Monitor) with paging.
• Software‑engineering‑first mindset; treat ML systems as software systems.

Nice‑to‑Haves

• GenAI in production (Bedrock, Anthropic, OpenAI APIs, RAG pipelines, vector DBs).
• Snowflake‑native ML (Snowpark Container Services, Cortex AISQL, Cortex Agents).
• Streaming feature engineering (Kafka, Flink, Snowpipe Streaming).
• Fine‑tuning experience (LoRA, QLoRA, instruction tuning, eval‑driven iteration).
• Track record of shipping more with AI in the engineering loop.
• Regulated‑industry experience (gaming, fintech, healthcare).

Compensation

Annual salary range: $135,000 to $170,000. Eligible for a performance‑based bonus plan. Location may affect starting pay.

Eligibility

Legal authorization to work in the U.S. without immigration sponsorship. Position is not eligible for H‑1B, O‑1, E‑3, TN, OPT, etc.

Gaming Compliance & Licensing Requirements

Must be licensed by at least one jurisdictional agency; certain positions require multiple licenses. Failure to maintain licensure may result in termination. Background checks and responsible gambling policies apply.

Equal Employment Opportunity

BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals regardless of race, religion, gender, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status.