Job description

Role Description This is a full-time onsite role for a Databricks MLOps Engineer, located in Santa Clara, CA. The Databricks MLOps Engineer will be responsible for developing and maintaining machine learning models using Databricks, ensuring seamless deployment and monitoring of these models in production. Daily tasks include collaborating with data engineers and data scientists to build robust data pipelines, automating model training and deployment processes, and optimizing machine learning workflows. Qualifications • Proficiency in Databricks and MLOps tools and frameworks • Experience in developing and maintaining machine learning models • Skills in data pipeline development and automation of model training and deployment processes • Strong understanding of cloud platforms like AWS, Azure, and GCP • Ability to work effectively both in-office and remotely • Excellent problem-solving and analytical skills • Relevant experience in the energy or utility sector is a plus • Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Requirements