- 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. QualificationsMachine Learning, Vertex AI, GCP Additional InformationAll your information will be kept confidential according to EEO guidelines.
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Machine Learning Engineer - Pleasanton, CA, United States - Data Piper
Description
Company DescriptionData Piper provides specialized and competitive talent to help you build your team's capabilities and success.Our staff have proven experience from the most competitive companies in Silicon Valley, so you know they have the experience and dedication that you can trust.
For short or long-term assignments, we will take the hassle out of finding the next perfect fit for your team.
Job DescriptionTitle:
Machine Learning (ML)
Engineer (Vertex.
AI, GCP)Location:
Remote
Requirements:
