Google Vertex Ai Architect
Skill Matrix
| Skills | Years of Exp | Year lastly Used | Rating Out of 10 |
| Google Vertex Ai Architect |
|
|
|
| Machine Learning | |||
| Python | |||
| Google Cloud Platform | |||
| Google CCAI/CES platform | |||
| MLOps LLMOps |
| Role | Google Vertex AI Architect |
| Location | Remote |
| Type of Hire - Contract/ C2H | Contractor |
| Duration | Long Term |
| In person interviews Yes/No | No |
| Client Interview Yes/No | Yes |
| Position requirements (Remote/ Hybrid/Fully onsite) | Remote |
| Job Description | Experience in production grade Machine Learning Model design and implementation including LLMs, Model Evaluation and MLOps. 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/CES platform and it's components. Experience in agentic architecture based implementations and advanced Retrieval Augmented Generation. 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 |
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