AI/ML Tech Lead/Architect
Job in
Norwalk, Fairfield County, Connecticut, 06860, USA
Listed on 2026-02-28
Listing for:
Jobs via Dice
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Smart Tech Link Solutions Inc., is seeking the following. Apply via Dice today!
Job TitleAI/ML Tech Lead / Architect
LocationHartford, CT / Minnesota (Onsite / C2C, locals preferred)
Experience10+ years
Mandatory Skills- Google Vertex AI
- Google CCAI (Contact Center AI) / CES (Customer Experience Suite)
- LLMs
- Prompt tuning
- Data Chunking
- Speech to Text and Text to Speech conversion
- Cloud Run
- Working with Product Teams
Job Description
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
- Candidates should be hands on AI/ML development - Mandatory
- Experience in using Google CCAI (Contact Center AI) / CES (Customer Experience Suite) platform and its 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 implementing 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.
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