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AI GCP Architect at Virtusa UK Limited
Fremont, California, United States -
Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Google CCAI, Vertex AI, Speech-to-Text, Intent Classifications, Machine Learning, Model Evaluation, MLOps, Python, Conversational AI, Testing, Validation, Retrieval Augmented Generation, Parameter Efficient Fine Tuning, Model Optimization, AI Technologies

Industry

IT Services and IT Consulting

Description
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.
Responsibilities
Design, build, and deploy machine learning models on the Google Cloud Platform. Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.