Job Summary

• This key leadership role will drive best practices for ML lifecycle management, govern the use of LLM APIs for GenAI solutions, and manage the growth and adoption of our enterprise AI & analytics platform for Vision, Dataiku.
• The Principal ML Ops Engineer will define and implement MLOps strategies, workflows, and tooling to streamline model development, deployment, monitoring, and retraining.
• We are seeking an experienced ML Ops Engineer to oversee and enhance our machine learning operations and AI platform ecosystem.

Matching Summary

Salary

Base: $117,000.00 - $201,250.00; Bonus/Equity: Not specified; Benefits: Vacation, Sick time, Holiday pay, Work/Personal/Family Time, Parental Leave, Bereavement Leave, Caregiver Leave, Volunteer Leave, Military Spouse Time-Off

Skills & Requirements

Key Requirements

• Master’s Degree / PhD + 4 years’ experience OR Bachelor’s Degree + 6 years’ experience
• Proven track record deploying and managing ML models at scale
• Proficiency in Python and ML frameworks
• Strong understanding of cloud platforms (Azure, AWS, or GCP)
• Hands-on experience with end-to-end model registry and lifecycle tools
• Ability to implement monitoring for system and model metrics
• Advanced knowledge of building automated pipelines for ML workflows
• Hands-on experience administering Dataiku or similar AI/analytics platforms

Work Rights