C
Machine Learning Operations Engineer | Remote Work | $90 - $140/hr
Call For Referral
Location
🇺🇸 San Diego, United States
Type
full_time
Salary
Undisclosed
Posted
1mo ago
Job Description
About The Role
This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cutting-edge GenAI initiatives, improving model performance, and contributing to highly scalable AI training environments. Position: MLOps Engineer Type: W2 | Full-Time Contingent Role Engagement: Remnote Global | Full-time Compensation: $90–$140/hour Location: United States (Remote) Role
Responsibilities
- Support AI research and engineering teams in improving ML infrastructure and training systems
- Design advanced MLOps and ML systems tasks with accurate, structured technical solutions
- Evaluate ML systems outputs and provide detailed technical feedback
- Develop evaluation rubrics and frameworks for distributed systems, training pipelines, and kernel-level optimization
- Collaborate with domain experts to maintain consistency and quality across AI training workflows
- Contribute to improvements in large-scale model training performance and infrastructure reliability
Requirements
- 2+ years of professional experience in ML infrastructure, MLOps, or ML systems engineering