Negotiable
Outside
Remote
USA
Summary: The Google Vertex AI Architect role focuses on 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 create scalable AI solutions and involves deploying models on the Google Cloud Platform. Candidates should have experience with Google CCAI/CES and advanced machine learning techniques. This is a long-term contractor position that allows for remote work.
Key Responsibilities:
- Design and implement production-grade machine learning models, including LLMs, Model Evaluation, and MLOps.
- Develop machine learning models using Google Vertex AI and Python for Conversational AI.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
- Build and deploy machine learning models on the Google Cloud Platform.
- Utilize Google CCAI/CES platform and its components.
- Implement agentic architecture and advanced Retrieval Augmented Generation.
- Optimize and fine-tune machine learning models for performance, efficiency, and accuracy.
- Stay updated on advancements in machine learning and AI technologies.
Key Skills:
- Experience in production-grade machine learning model design and implementation.
- Proficiency in Google Vertex AI and Python.
- Knowledge of MLOps and model evaluation.
- Experience with Google Cloud Platform.
- Familiarity with Google CCAI/CES platform.
- Understanding of agentic architecture and Retrieval Augmented Generation.
- Experience in Parameter Efficient Fine Tuning is a plus.
- Ability to collaborate with cross-functional teams.
Salary (Rate): undetermined
City: New York
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Google Vertex Ai Architect
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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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 |