Staff MLOps Engineer — Healthcare AI Platform Lead

Take a Seat Tech; New York (NY); Hybrid; USD 298,000 - 351,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Take a Seat Tech in New York City (Hybrid) is seeking a Staff MLOps Engineer to build and own the machine learning production platform. You will deploy models, monitor systems, and run scalable infrastructure for healthcare AI applications.

The role emphasizes production reliability, cost optimization, and close collaboration with data science and engineering teams. Equity and benefits are included as part of the compensation package.

Qualifications

• Seven or more years of software engineering, including ML or data-intensive systems.
• Strong infrastructure fundamentals and experience designing platform components.
• Experience building deployment and observability tooling for ML models.

Responsibilities

• Build model deployment pipelines, feature store and registry capabilities.
• Build production monitoring and automated validation.
• Detect data and model drift.
• Improve inference cost, latency and reliability.

Skills

ML systems

Software engineering

Infrastructure fundamentals

Platform design

Data-intensive systems

Python

Model monitoring

Tools

Kubernetes

AWS

SageMaker

Terraform

Job description

Take a Seat Tech in New York City (Hybrid) is seeking a Staff MLOps Engineer to build and own the machine learning production platform. You will deploy models, monitor systems, and run scalable infrastructure for healthcare AI applications.

The role emphasizes production reliability, cost optimization, and close collaboration with data science and engineering teams. Equity and benefits are included as part of the compensation package.