Overview
On Site
$DOE
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Long Term
Skills
GCP
AIML
conversational AI
Google Vertex AI
Google CCAI
Job Details
Position: AIML Architect
Location: Hartford CT
Duration: Long Term Contract
Job Details:
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/CES 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.
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/CES 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.
Tekshapers is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.
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.