Found Description
Education and Work Experience Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.5+ years of experience in MLOps with at least 2 years working specifically with LLMOps pipelines for large language models.Proven experience in deploying, managing, and optimizing machine learning models in cloud environments at scale.Experience with AI and Generative AI technologies is a plus.· Strong problem-solving abilities and a passion for building scalable, production-grade AI systems.· Lead the design and implementation of end-to-end MLOps and LLMOps pipelines, from model development and training to deployment and continuous monitoring in production environments.· Develop automation for model deployment and management, ensuring scalability, efficiency, and cost-effectiveness, particularly for large language models (LLMs) in cloud environments.· Implement and manage CI/CD pipelines for bo...