MLOps Engineer (AI)

Location: New York, United States

Salary: $100,000–$125,000 per year, plus potential discretionary bonus

Company

hirify.global is a strategic AI partner serving Fortune 500 enterprises and building machine learning solutions for business decision-making.

What you will do

• Build synchronous and asynchronous model-serving services with FastAPI, including authentication, validation, logging, tracing, and metrics.
• Deploy containerized inference services to Docker and Kubernetes/EKS environments using scalable production architectures.
• Design MLflow-based training, experiment tracking, model registry, deployment, and inference workflows across development, testing, and production.
• Develop Databricks and PySpark data, feature engineering, training, and inference pipelines using Delta Lake, Workflows, and Asset Bundles.
• Create architecture diagrams, technical designs, implementation runbooks, reusable libraries, and MLOps frameworks.
• Implement monitoring for model performance, prediction drift, data quality, service health, and pipeline reliability while resolving production incidents.

Requirements

• Deep hands-on Python experience for data engineering and backend application development.
• Strong production experience with FastAPI, Databricks, MLflow, Delta Lake, Databricks Workflows, Databricks Asset Bundles, and Spark-based distributed processing.
• Experience with AWS services including SQS, EKS, and Aurora PostgreSQL, plus Kafka and/or SQS-based asynchronous architectures.
• Strong Docker and Kubernetes fundamentals, CI/CD experience with GitHub Actions, Jenkins, or similar tools.
• Experience designing end-to-end ML lifecycle architectures covering feature engineering, training, deployment, monitoring, and retraining.
• Hands-on daily use of GitHub Copilot and Claude Code, with strong written and verbal communication skills.

Nice to have

• Experience in group insurance, life insurance, or underwriting.
• Experience operationalizing GenAI or LLM-based applications and services.

Culture & Benefits

• Health, dental, vision, life insurance, and disability plans from the first day of employment, subject to plan documents.
• 401(k) eligibility after 30 days of employment.
• 11 paid holidays, 12 weeks of parental leave, and a flexible free-time PTO policy.
• Work involves collaboration with AI/MLOps, Data Science, Data Engineering, Platform Engineering, business, and IT stakeholders.