AIML ArchitectSenior

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profile Job Location:

Hartford, CT - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Position Details

Requirement

Role

AIML Architect and AIML Senior Architect

No of position

(Architect and Sr Architect)

Location

US (Hartford UHG office)

Local candidates to Hartford CT preferred

Type of Hire - Contract/ C2H

Contract

Salary Range (in USD)

ON C2C

Job Description

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/CES platform and its 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.

Position Details Requirement Role AIML Architect and AIML Senior Architect No of position (Architect and Sr Architect) Location US (Hartford UHG office) Local candidates to Hartford CT preferred Type of Hire - Contract/ C2H Contract Salary Range (in USD) O...
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Key Skills

  • Apache Hive
  • S3
  • Redshift
  • Spark
  • AWS
  • Solr
  • NoSQL
  • Data Warehouse
  • Internet Of Things
  • Kafka
  • DynamoDB
  • ZooKeeper