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Machine Learning Engineer (Vertex.AI, GCP)

Remote,Pleasanton, CA
Software Development
Machine Learning
Vertex AI
GCP
Python
Deep Learning

Company Description

Data 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 Description

Title: Machine Learning (ML) Engineer (Vertex.AI, GCP)

Location: Remote

Note: Need candidates who are located in the USA (no 3rd party candidate)

·       Design, develop, and deploy machine learning models using Vertex AI to solve complex problems.

  • Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent). GCP experience on vertexAI highly preferred.
  • Experience developing and maintaining ML systems built with open source tools

·       Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness.

  • Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
  • Fluency in Python
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.

Requirements:

·       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.

·       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.

 

 

Qualifications

Machine Learning, Vertex AI, GCP 

Additional Information

All your information will be kept confidential according to EEO guidelines.

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