Mechine Learning

3 weeks ago

bangalore, India LTIMindtree Full time
Skills : Python Developer,NLP, LLM Models, GenAI ,SAS tools
Experience : 07 - 10 yrs
Location : Bangalore
Job Description:
Key responsibilities:
Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing
CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support.
Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution.
Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
Provide technical guidance to clients adopting LLM technologies.
Required Qualifications:
Bachelor’s Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields
Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution
2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database
2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments
Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.
Desired Qualifications:
M.sc. or Phd. in corresponding fields
Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks
Deep knowledge of a specific domain or industry, with a focus on NLP/LLM
In depth understanding of Responsible AI standards and protocols
Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development

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