Machine Learning Engineer - Pleasanton, CA, United States - Data Piper

Description

• Design, develop, and deploy machine learning models using Vertex AI to solve complex problems.
• Build and maintain MLOps pipelines for model training, deployment, and monitoring, ensuring scalability, reliability, and performance.
• Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness.
• Utilize Golang or similar language for building efficient and scalable backend systems to support machine learning workflows.
• Collaborate with product managers, data scientists, and software engineers to understand business requirements and translate them into technical solutions.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proven experience as a Machine Learning Engineer, with a strong background in building and deploying ML models.
• Proficiency in Vertex AI for model development and deployment.
• Solid understanding of MLOps practices and experience in building and maintaining MLOps pipelines.
• Demonstrated expertise in model tuning and optimization techniques.
• Previous experience working with media companies is nice to have
• Experience in audio captioning will be a significant advantage. #J-18808-Ljbffr