Associate Manager, Production AI/ML Engineering, Advanced Informatics

Location: Onsite in Tarrytown or Armonk, New York, or Warren, New Jersey, United States

Salary: $109,900–$179,300 annually

Company

hirify.global is a biotechnology company that develops medicines and product candidates for serious diseases using science, clinical research, and advanced informatics.

What you will do

• Architect and maintain a scalable AWS and Kubernetes ecosystem for model training, batch inference, and real-time serving.
• Design production-grade ML pipelines for population-scale clinical and claims data, including ingestion, normalization, and transformation.
• Develop RESTful APIs that expose model inference to downstream applications and teams.
• Operationalize Applied AI models through deployment, versioning, rollback, and A/B testing.
• Build MLOps infrastructure including CI/CD, feature stores, model registries, and pipeline orchestration.
• Own monitoring, alerting, incident response, capacity planning, and the long-term AI/ML platform roadmap while partnering with governance and compliance teams.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics, or a related field; a Master’s degree is preferred.
• 7–9 years of progressive ML, platform, or software engineering experience with an infrastructure focus.
• Enterprise-scale AWS experience, including services such as SageMaker, ECS, EC2, S3, and Lambda.
• Strong Kubernetes expertise covering cluster management, workload scheduling, autoscaling, and production deployment of containerized ML services.
• Expert-level Python and SQL, strong software engineering fundamentals, RESTful API development, Postgres, Git, testing, and CI/CD.
• Experience with MLOps tools such as MLflow or W&B, Docker, model registries, and Airflow, Prefect, or similar orchestration platforms.

Nice to have

• Knowledge of health or life sciences data, including EHR/EMR records, claims, clinical notes, or administrative data.

Culture & Benefits

• Science-driven work focused on developing medicines for serious diseases.
• Inclusive workplace and equal employment opportunity commitment.
• Benefits may include annual incentives, equity awards, retirement benefits, 401(k) matching, health insurance, wellness programs, paid time off, and family support.
• Many roles are performed onsite to support collaboration.