Remote ML Ops Engineer: Scale & Automate ML Pipelines

NLP PEOPLE; New Kensington (Westmoreland County); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Sheetz is seeking a Senior Machine Learning Ops Engineer to lead the design and optimization of ML infrastructure. The role involves developing robust pipelines, collaborating across teams, and operationalizing machine learning models.

The ideal candidate will have extensive experience in ML Ops practices and the ability to ensure models maintain performance and reliability. This position supports remote work in multiple states.

Qualifications

• 5+ years of operationalizing machine learning solutions with ML Ops focus.
• Experience with large databases and data pipelines.
• Knowledge of CI/CD pipelines for ML workflows.

Responsibilities

• Lead development and optimization of ML pipelines.
• Implement infrastructure for scalable production workflows.
• Guide cross-functional teams on ML solutions.

Skills

Experience in ML Ops practices

Data pipeline development

Use of CI/CD tools

Cloud platform experience (AWS, GCP, Azure)

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

ML Flow

TensorFlow

PyTorch

Job description

Sheetz is seeking a Senior Machine Learning Ops Engineer to lead the design and optimization of ML infrastructure. The role involves developing robust pipelines, collaborating across teams, and operationalizing machine learning models.

The ideal candidate will have extensive experience in ML Ops practices and the ability to ensure models maintain performance and reliability. This position supports remote work in multiple states.