Senior MLOps Engineer – Remote, Equity & Unlimited PTO

Hungryroot; Northern (KY); Hybrid; USD 170,000 - 210,000; Full time

Benefits offered by this job

Equity

Unlimited vacation policy

Universal paid parental leave

Comprehensive health, vision, dental,

life insurance

401k with Company Match

Work from home stipend

Job summary

Hungryroot is hiring a Senior Machine Learning Operations Engineer to join its Data Science team working on production ML infrastructure powering personalized grocery recommendations and product experiences.

You will design, build, and operate scalable backend services and data pipelines, ensuring reliability, performance, and observability while enabling seamless model deployment and experimentation across a modern tech stack on AWS and Databricks.

Qualifications

• 5+ years in MLOps, ML engineering, or DevOps with a focus on production ML infrastructure.
• Strong Python and SQL; Bash for automation and tooling.
• Experience designing and operating backend services and APIs (e.g., FastAPI) with attention to reliability, latency, and scalability.
• Hands-on experience with Databricks and Spark and MLflow or comparable model lifecycle tooling.
• Experience building CI/CD for ML or data systems and infrastructure as code (Terraform or similar).
• Solid AWS fundamentals: IAM, networking, compute/cluster management, containerized workloads (Docker; ECS or EKS).
• Experience with production observability: metrics, logging, alerting, and ML-specific monitoring like data quality and model drift

Responsibilities

• Design, build, and operate scalable backend services, APIs, and data pipelines.
• Improve the reliability, performance, and observability of production ML and optimization systems.
• Own the path from trained model to production: model versioning and registry, safe rollout and rollback, monitoring for data quality and drift.
• Build interfaces for new ML models and decisioning capabilities, including experimentation and feature-flag tooling.
• Strengthen engineering foundations across codebase: testing, type checking, CI/CD, infrastructure as code, documentation.
• Profile data-heavy services and pipelines; reduce execution time and memory footprint where it matters.
• Collaborate with data scientists, ops researchers, and product engineers to translate business needs into robust tech solutions.

Skills

Python

SQL

Bash

FastAPI

Databricks

Spark

MLflow

CI/CD

Terraform

AWS

Docker

ECS/EKS

Observability

Model drift monitoring

Tools

GitHub Actions/Jenkins

Databricks Asset Bundles

Terraform

Unity Catalog

Databricks Feature Store

Job description

Hungryroot is hiring a Senior Machine Learning Operations Engineer to join its Data Science team working on production ML infrastructure powering personalized grocery recommendations and product experiences.

You will design, build, and operate scalable backend services and data pipelines, ensuring reliability, performance, and observability while enabling seamless model deployment and experimentation across a modern tech stack on AWS and Databricks.