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GenAI Engineer || San Jose CA at San Jose, California, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2017550&uid=

From:

Venkat Gayam,

iTech US Inc

[email protected]

Reply to: [email protected]

Greetings from iTech US Inc.!

We have an urgent requirement for you and the details are as follows

Job Title: GenAI Engineer

Location: San Jose CA (

Day1 onsite)

Duration: 6+ Months

(Implementation/Prime Vendor Partner: TCS)

Job Details:

Need Strong profile as GenAI Engineer with 9+yrs IT exp.

Job Description:

Hands-on experience on:

Agentic AI

Multiple agents framework

AutogenAI or Semantic models

large documents volume handling - 1000-2000 documents processing (similar to Nvidia)

Responsibilities:

Design, develop, and evaluate innovative LLM models to solve diverse challenges and opportunities across multiple use cases using MS Azure services.

Understand business problems and assist with defining and implementing a scalable Generative AI platform to address them.

Build large-scale production systems utilizing advanced machine learning and big data technologies.

Develop and optimize data processing workflows for chunking, indexing, ingestion, and vectorization for both text and non-text data.

Benchmark and implement various vector stores, embedding techniques, and retrieval methods.

Create a flexible pipeline supporting multiple embedding algorithms, vector stores, and search types (vector search, hybrid search, etc.), including search ranking.

Implement and maintain auto-tagging systems and data preparation processes for LLMs.

Develop tools and pipelines for text and image data cleaning, tagging, and refinement.

Integrate and optimize workflows using Azure AI Search, Azure AI Services, Azure PostgreSQL, and various vector store technologies.

Use advanced prompting techniques to develop and optimize prompts for LLM to ensure model performance, response quality, and accuracy of the Gen AI platform.

Contribute to automated model testing and evaluation infrastructure.

Build automations to create and select the best prompts for any given task.

Requirements:

Demonstrated expertise in AI/ML and LLM technologies, including generative AI, Natural Language Processing, and computer vision.

Hands-on experience with multimodal AI systems, integrating data from various sources such as text and images to build comprehensive and effective AI solutions.

Extensive experience in designing and deploying AI models and systems in production environments.

Ability to translate business needs into technical solutions.

Proficiency in Python and related tools.

Strong understanding of LLM architectures, training processes, and data requirements.

Experience with RAG (Retrieval-Augmented Generation) systems, knowledge base construction, and vector databases.

Familiarity with embedding techniques, similarity search algorithms, and information retrieval concepts.

Hands-on experience with data cleaning, tagging, and annotation processes (both manual and automated).

Strong problem-solving skills and ability to work in a fast-paced, innovative environment.

Familiarity with MS Azure and its integration in AI/ML pipelines.

Experience with various vector store technologies and their applications in AI.

Experience building LLM pipelines using frameworks like AutoGen, LangChain, Semantic Kernel, Llamalnex, Azure AI Studio, OpenAI functions, and models.

Kindly fill the below details as it is required while submitting it to the client:

Full Name (Legal):

Contact No:

Alternate Contact No:

E-mail ID:

Work Authorization:

Current Location:

Former Employee of TCS (Yes/NO):

Relocation (Y/N):

LinkedIn URL:

Education Details (Specialization/University/Passed out year)

Bachelor's Degree:

Master's Degree:

Keywords: artificial intelligence machine learning information technology microsoft California Idaho
GenAI Engineer || San Jose CA
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2017550&uid=
[email protected]
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12:05 AM 17-Dec-24


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Location: San Jose, California