ML Ops Engineer

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