Senior Machine Learning Operations Engineer (AI)

Location: Remote within the United States; work from anywhere in the U.S. or from the New York City office

Expected pay range: $170,000–$210,000 per year

Company

hirify.global is building an AI-powered food and wellness platform that recommends and delivers groceries, recipes, and supplements personalized to customer goals, lifestyles, and budgets.

What you will do

• Design, build, and operate scalable Python backend services, FastAPI APIs, and data pipelines.
• Improve the reliability, performance, and observability of production ML and optimization systems.
• Own the model-to-production lifecycle, including MLflow model versioning, registries, safe rollouts, rollbacks, and monitoring for data quality and model drift.
• Build interfaces for integrating new ML models and decisioning capabilities, including experimentation and feature-flag tooling.
• Strengthen automated testing, type checking, CI/CD, infrastructure as code, documentation, and system design across the codebase.
• Profile data-heavy services and pipelines and collaborate with data scientists, operations researchers, and product engineers on technical solutions.

Requirements

• 5+ years of experience in MLOps, ML engineering, or DevOps focused on production ML infrastructure.
• Strong Python and SQL skills, with Bash for automation and tooling.
• Experience designing and operating reliable, scalable backend services and APIs such as FastAPI.
• Hands-on experience with Databricks, Spark, MLflow or comparable model lifecycle tooling, and CI/CD for ML or data systems.
• Experience with Terraform or similar infrastructure-as-code tools, AWS, IAM, networking, compute and cluster management, Docker, and ECS or EKS.
• Experience with production observability, including metrics, logging, alerting, data quality monitoring, and model-drift monitoring.

Nice to have

• Experience with recommendation, personalization, operations research, optimization solvers, or OR tooling such as Gurobi and OR-Tools.
• Experience with experimentation and feature-flag platforms, feature stores, and low-latency model-serving patterns.
• Experience optimizing Spark workloads, cluster sizing, and data-heavy workload costs and performance.
• Additional experience with Scala or C++.

Culture & Benefits

• Remote-first work environment with flexibility to work from home or the New York City office within the U.S.
• Equity and an unlimited vacation policy.
• Universal paid parental leave and comprehensive health, vision, dental, and life insurance.
• 401(k) with company match and a work-from-home stipend.
• Monthly hirify.global credit and regular virtual team events with an annual company retreat.