AIML TECH LEAD

Overview

Accepts corp to corp applications
Contract - 3 day((s))

Skills

Editing
Presentations
Cloud Computing
Customer Experience
Evaluation
Machine Learning Operations (ML Ops)
Vertex
Python
Google Cloud Platform
Google Cloud
Testing
Machine Learning (ML)
Artificial Intelligence
Technical Direction
Management
EXT
Collaboration

Job Details

Hi

I just reach you regarding the job opportunity AI/ML Tech Lead / Architect. Let me know if you are interested in the position, Please share your updated resume so that we discuss more.

JOB TITLE: AI/ML Tech Lead / Architect

LOCATION: Hartford, CT (ONSITE/ C2C)

CLIENT: VIRTUSA

Exp: - 10- 12+ yrs

NOTE: PASSPORT NO. MANDATORY..
Visa: H1B

Job Description

Mandatory skills

  • Google Vertex

  • google CCAI
  • Cloud Run
  • Speech to text and text to speech conversion
  • Prompt tuning
  • Data chunking
  • LLM
  • Prompt tunning
  • working with product teams
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
  • Should have 2-3 years of Architecture experience Mandatory
  • Candidates should be hands on AI/ML development - Mandatory

Position Details

Requirement

Role

AI/ML Tech Lead / Architect

Location

Hartford, CT

Job Description

Detailed Job Description:

  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
  • Should have 2-3 years of Architecture experience Mandatory
  • Candidates should be hands on AI/ML development - Mandatory
  • Experience in using Google CCAI (Contact Center AI) /CES (Customer Experience Suite) platform and it's components.
  • 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.
  • Design, build, and deploy machine learning models on the Google Cloud Platform.
  • 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.

Warm Regards

Insiya Gandotra ||

Direct: +1 EXT 604

insiya.g |

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