ML Ops Engineer - Remote

Overview

Inspiren is seeking a highly skilled ML Ops Engineer to help create ML pipelines for traditional CV and LMM based models, driving innovation and ensuring high standards of quality and performance across all devices and platforms.

In Short

• Lead ML Ops projects from development to deployment.
• Collaborate with cross-functional teams to implement scalable ML pipelines.
• Stay current with industry trends and introduce new methodologies.
• Conduct infrastructure reviews and drive design for excellence.
• Mentor team members and foster a culture of innovation.
• Establish best practices for model validation and compliance.
• Troubleshoot complex ML pipeline issues.
• Contribute to the long-term ML roadmap.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 5+ years of experience in ML Ops with successful project launches.
• Expertise in Python and familiarity with ML frameworks.
• Experience with ML pipeline tools and cloud platforms.
• Hands-on experience with Docker, Kubernetes, and CI/CD.
• Familiarity with data engineering and ETL processes.
• Understanding of data security and privacy best practices.
• Excellent communication skills.
• Adaptability in a fast-paced environment.
• Start-up experience is a plus.

Benefits

• Annual salary between $170,000-200,000 + equity + benefits.
• Flexible PTO.
• Remote work opportunity.
• Impact on patient care through technology.