ML Ops Engineer

Job Summary

Passionate about scientific computing and data processing, the full-time remote ML Ops Engineer will focus on optimizing the deployment of various models, ensuring robustness and maintainability while innovating around frameworks for fast experimentation with large datasets.

Key responsibilities

• Develop production systems and support systems for training and validating new models
• Build production-grade distributed systems for processing large datasets, ML/AI, and LLMs
• Design and build systems with ambiguous requirements, anticipating changes or expansions

Required qualifications

• Experience in building production-grade distributed systems for large datasets and ML/AI applications
• Ability to work with ambiguous requirements and adapt to evolving project needs
• Proven track record of delivering software in academic or industry settings
• Strong understanding of optimization techniques for model deployment
• Familiarity with CI/CD processes in machine learning environments