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AI GCP Architect

Virtusa
Posted 3 months ago, valid for 20 days
Location

Fremont, CA 94536, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are seeking a candidate with strong hands-on experience in Google CCAI and Vertex AI, particularly in Speech-to-Text and intent classifications.
  • The role requires advanced experience in designing and implementing production-grade Machine Learning models, including LLMs and MLOps.
  • Candidates should have expertise in using Google Vertex AI and Python for Conversational AI, as well as experience with agentic architecture and Retrieval Augmented Generation.
  • The position involves collaborating with cross-functional teams, optimizing machine learning models, and conducting thorough testing and validation.
  • A minimum of 10 years of experience is required for this position, with a competitive salary offered based on qualifications.

We urgently need someone with strong hands-on experience in Google CCAI and Vertex AI, along with deep expertise in Speech-to-Text and intent classifications.

Job Description 

  • Advanced experience in production grade Machine Learning Model design and implementation including LLMs, Model Evaluation and MLOps.
  • In depth exposure and experience in designing and  implement machine learning models using Google Vertex AI & Python in the context of Conversational AI.
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
  • Design, build, and deploy machine learning models on the Google Cloud Platform. Experience in using Google CCAI/GoogleInsights CES platform and it’s components.
  • Experience in agentic architecture based implementations and advanced Retrieval Augmented Generation.
  • Conduct thorough testing and validation to ensure the accuracy and reliability of the models. Experience in Eval frameworks and eval metrics.
  • Optimize and fine-tune machine learning models for performance and efficiency and accuracy. Experience in Parameter Efficient Fine Tuning will be an added advantage.
  • Stay updated on the latest advancements in machine learning and AI technologies.
  • Over all 10+ years of Experience required.



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