MLOps Engineer: Scale ML Pipelines & Production

ExaCare Inc; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and equity

Flexible PTO

Medical, dental, and vision coverage

Great startup culture

Job summary

ExaCare Inc is seeking a Machine Learning Engineer in New York to operationalize and scale machine learning systems. This engineering-focused role will involve building workflows, infrastructures, and processes to enhance ML system reliability.

The ideal candidate will have 3+ years of experience in MLOps, strong software engineering skills, and a passion for improving ML operations. Join a high-achieving team and be part of the transformation in healthcare with flexible PTO and competitive benefits.

Qualifications

• 3+ years of experience in machine learning engineering or MLOps.
• Strong software engineering fundamentals.
• Experience with monitoring and debugging production ML systems.

Responsibilities

• Build and maintain workflows and infrastructure supporting ML lifecycle.
• Partner with researchers to productionize models.
• Design and improve data and training pipelines.

Skills

Machine learning engineering

MLOps

Data engineering

Backend/platform engineering

Production workflows

Job description

ExaCare Inc is seeking a Machine Learning Engineer in New York to operationalize and scale machine learning systems. This engineering-focused role will involve building workflows, infrastructures, and processes to enhance ML system reliability.

The ideal candidate will have 3+ years of experience in MLOps, strong software engineering skills, and a passion for improving ML operations. Join a high-achieving team and be part of the transformation in healthcare with flexible PTO and competitive benefits.