Negotiable
Outside
Remote
USA
Summary: The role of Google Vertex AI Architect involves designing and implementing production-grade machine learning models, particularly in the context of conversational AI using Google Vertex AI and Python. The position requires collaboration with cross-functional teams to develop scalable AI solutions and deploy models on the Google Cloud Platform. The contract is for a duration of 6+ months and is fully remote.
Key Responsibilities:
- 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 its 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.
Key Skills:
- Experience with Google Vertex AI Architect.
- Machine Learning expertise.
- Proficiency in Python.
- Familiarity with Google Cloud Platform.
- Knowledge of Google CCAI/CES platform.
- Understanding of MLOps and LLMOps.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Hello Everyone,
Hope you are doing good
This is Raja from Tek Leaders. We have an urgent requirement below that is open with our client.
Title: Google Vertex Ai Architect
Location : Remote
Duration: 6+ Months Contract role
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.
Skill Matrix
Skills |
Years of Exp |
Year lastly Used |
Rating Out of 10 |
Google Vertex Ai Architect |
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Machine Learning |
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Python |
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Google Cloud Platform |
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Google CCAI/CES platform |
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MLOps LLMOps |
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Raja
Email ID:
Aakash Raja :