MLOps Engineer: Build Production ML Pipelines

exacare ai; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary & equity

Flexible PTO

Medical, dental and vision coverage

Company off-sites

Strong engineering team background

Hybrid work setup

Job summary

exacare ai seeks a Machine Learning Engineer, MLOps to operationalize and scale ML systems. This engineering-focused role builds workflows, infrastructure, and processes to move ML from research to reliable production.

You will partner with research engineers to productionize models, improve data/training pipelines, and ensure faster, cost-efficient iteration with robust monitoring and deployment workflows.

Qualifications

• 3+ years of experience in machine learning engineering or MLOps in ML environments.
• Experience end-to-end ML systems: model handoff, deployment, monitoring.
• Proven ability to build data & training pipelines and production workflows.

Responsibilities

• Build and maintain workflows and infrastructure for the end-to-end ML lifecycle.
• Partner with researchers to productionize models and enable faster iteration.
• Design and improve data pipelines and training pipelines.

Skills

ML engineering

MLOps

Data pipelines

Training pipelines

Production systems

Monitoring

Cost efficiency

Startup environment

Job description

exacare ai seeks a Machine Learning Engineer, MLOps to operationalize and scale ML systems. This engineering-focused role builds workflows, infrastructure, and processes to move ML from research to reliable production.

You will partner with research engineers to productionize models, improve data/training pipelines, and ensure faster, cost-efficient iteration with robust monitoring and deployment workflows.