Vertex AI Solution Architect at Capgemini
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

24 May, 25

Salary

0.0

Posted On

24 Feb, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Models, Microsoft, Leadership, Machine Learning, Gemini, Platforms, It, Technology, Cloud, Data Science, Connectivity, Strategy, Software, Addition, Google Cloud, Technical Requirements, Design, Google Cloud Platform, Aws, Sc Clearance, Analytics, Operations

Industry

Information Technology/IT

Description

WE ARE LOOKING FOR TALENTED AND MOTIVATED INDIVIDUALS WITH MANY BUT NOT NECESSARILY ALL THE FOLLOWING SKILLS AND EXPERIENCE:

  • Strong understanding of core Google Cloud products such as Big Query, Dataplex, Pub/Sub etc and how they should be combined to build a strong, unified foundation for Data and AI.
  • An understanding of the various methods of building and deploying ML capability across an enterprise in Google Cloud (e.g. AutoML, BigQueryML, pre-trained APIs etc.) and the ability to articulate the pro’s / con’s of each approach.
  • Experience designing, building, and managing MLOps workflows using Vertex AI Pipelines or similar tools.
  • Experience leveraging and customizing large language models (LLMs) within Vertex AI, using native Google Cloud models such as Gemini in addition to those available in the Model Garden.
  • Expertise in deploying models to Vertex AI endpoints, managing model versions, and implementing model monitoring and retraining strategies.
  • An awareness of current Google Cloud product trends in areas such as Agentic AI and Search (e.g. Vertex AI Agent Builder, AI Search and Google Agent Space).
Responsibilities

Please refer the Job description for details

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