MLOps Engineer

The MLOps Engineer at Precision AI is responsible for operationalizing machine learning systems end-to-end, from model packaging and deployment to monitoring, reliability, and lifecycle management in production.

Requirements

• Design, build, and maintain automated pipelines for model packaging, validation, and deployment
• Operationalize ML models for production APIs and services
• Implement CI/CD workflows for ML systems, including automated testing and release processes
• Build and maintain model monitoring for performance, latency, failures, and drift
• Manage model versioning, metadata, and registries
• Define and enforce MLOps best practices across teams
• Support data ingestion, validation, and dataset versioning workflows
• Collaborate with ML teams to improve data quality, lineage, and lifecycle management
• Work effectively with common computer vision tasks
• Understand model training principles
• Collaborate with ML researchers and engineers to translate model requirements into production-ready systems
• Support deployment of ML models to resource-constrained environments
• Assist with optimizing and compiling AI models for edge devices and mobile platforms
• Collaborate with engineering teams on operational considerations for edge inference

Benefits

• 401k Matching
• Retirement Plan
• Generous Paid Time Off
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance