Senior MLOps Engineer - Remote-friendly & Scalable ML

Sheetz; Pittsburgh (Allegheny County); On-site; USD 95,351 - 158,922; Full time

Benefits offered by this job

Quarterly bonuses

PTO

Parental leave

401k match

Tuition reimbursement

Medical, vision, and dental coverage

Snack discounts

Job summary

Sheetz is actively seeking a Senior Machine Learning Ops Engineer to optimize ML infrastructure and manage pipelines. This position focuses on ensuring the seamless operation of AI models across multiple systems.

The successful candidate will design, build, and maintain processes that ensure ML systems run efficiently, 24/7. This role also offers a competitive salary and various perks, including quarterly bonuses, medical coverage, and opportunities for professional development.

Qualifications

• 5+ years of experience in designing and operationalizing machine learning solutions.
• Strong focus on ML Ops practices and infrastructure.
• Experience with large databases and data pipelines.

Responsibilities

• Lead the development of ML pipelines, including deployment and monitoring.
• Guide infrastructure for ML tools like TensorFlow and Kubernetes.
• Collaborate across teams to align ML solutions with business needs.

Skills

Machine Learning Operations

Pipelines Development

Docker

Kubernetes

Cloud Environments

CI/CD Workflows

Education

Bachelor's degree in Computer Science or related

Tools

TensorFlow

PyTorch

ML Flow

Job description

Sheetz is actively seeking a Senior Machine Learning Ops Engineer to optimize ML infrastructure and manage pipelines. This position focuses on ensuring the seamless operation of AI models across multiple systems.

The successful candidate will design, build, and maintain processes that ensure ML systems run efficiently, 24/7. This role also offers a competitive salary and various perks, including quarterly bonuses, medical coverage, and opportunities for professional development.