AIML Architect

Overview

On Site
$60 - $90
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Google Vertex Google CCAI LLMs Prompt tunning Data Chunking Speech to text and text to speech conversion Cloud Run Working with Product Teams

Job Details

JD -

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 (Contact Center AI) /CES (Customer Experience Suite) 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, 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.

Ability to directly deal with tech experts from product companies such as google and drive solutions to meet customer expectations, goals

Maturity working in a customer environment with understanding the boundaries.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.