Partner 20, ML Ops Engineer
2 days ago
🏢 In-office - San Francisco
Description
• Design, implement, and maintain scalable and robust MLOps pipelines in Databricks to support GenAI projects • Develop and optimize infrastructure to accelerate the deployment and monitoring of machine learning models • Collaborate with analytics engineers to streamline the end-to-end machine learning workflow, from data ingestion to model deployment • Implement best practices for model versioning, testing, and validation to ensure the reliability and accuracy of deployed models • Monitor and maintain the performance, security, and scalability of the machine learning infrastructure • Develop automation scripts and tools to improve the efficiency and reliability of MLOps processes • Stay current with the latest trends and technologies in machine learning, MLOps, LLMOps, and recommend improvements to our existing infrastructure • Provide technical guidance and support to team members and stakeholders on MLOps best practices
Requirements
• 6+ years of experience in machine learning operations, data engineering, or a related field • Advanced proficiency in Python and SQL • Strong understanding of machine learning concepts and experience with deploying ML models in a production environment • Proven experience in designing and implementing MLOps pipelines and infrastructure • Familiarity with cloud platforms and services, particularly those related to data and machine learning • Excellent problem-solving skills and the ability to work independently in a fast-paced environment • Strong communication skills and the ability to collaborate effectively with cross-functional teams • Knowledge of containerization technologies such as Docker • Low ego, high empathy, and the capacity to collaborate effectively with diverse teams • Experience using Databricks and AWS preferred • Experience with GenAI projects and understanding of generative AI concepts and methodologies preferred
Benefits
• Health insurance • Dental insurance • Vision insurance • Disability insurance • Life insurance • 401K plan • Vacation • Sick leave
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