AI / ML Engineer – Associate Manager (LLM Specialist) – Chennai

HypTechie

Chennai District

On-site

INR 4,500,000 - 7,500,000

Full time

14 days+
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Job summary

HypTechie in Chennai, India is seeking a skilled AI/ML Engineer with a strong background in Large Language Models (LLMs) to join our Computational Science team as an Associate Manager. You will design, develop, and deploy advanced AI solutions that leverage LLMs and other deep learning techniques.

You will work on integrating generative AI capabilities into real-world applications, contributing to the development of intelligent systems such as chatbots, NLP solutions, and AI-driven automation.

Qualifications

  • 7.5+ years of hands-on AI/ML experience with LLMs.
  • Proficient with LLM frameworks and tools such as Hugging Face Transformers, OpenAI APIs, LangChain.
  • Strong Python programming and experience with TensorFlow or PyTorch.

Responsibilities

  • Develop and deploy AI applications using LLMs and other AI tools.
  • Design scalable, production-ready solutions using cloud or on-premise infrastructure.
  • Collaborate with cross-functional teams to integrate AI capabilities into existing systems and workflows.
  • Act as a SME in LLMs and generative AI applications.
  • Guide and mentor junior engineers, fostering skill development and team growth.
  • Contribute to architectural decisions and drive technical direction across teams.
  • Continuously evaluate and improve AI model performance, reliability, and scalability.
  • Stay updated with the latest research and advancements in AI/ML and incorporate them into practice.

Skills

LLMs
Python
Deep Learning
NLP
Leadership

Tools

Hugging Face Transformers
OpenAI APIs
LangChain
TensorFlow
PyTorch
AWS
Azure
Google Cloud

Job description

Location: Chennai, India

Experience Required: Minimum 7.5 Years

Education: 15 Years Full-Time Education

Employment Type: Full-Time

Job ID: ATCI-4932355-S1854513

Required Skill: Large Language Models

About the Role

We are seeking a skilled AI / ML Engineer with a strong background in Large Language Models (LLMs) to join our Computational Science team as an Associate Manager. In this role, you will be responsible for designing, developing, and deploying advanced AI solutions that leverage LLMs and other deep learning techniques. You will work on integrating generative AI capabilities into real-world applications, contributing to the development of intelligent systems such as chatbots, NLP solutions, and AI-driven automation. Your work will drive innovation across industries by applying the latest advancements in AI and machine learning.

Key Responsibilities
  • Develop and deploy AI applications using Large Language Models (LLMs) and other AI tools.
  • Design scalable, production-ready solutions using cloud or on-premise infrastructure.
  • Collaborate with cross-functional teams to integrate AI capabilities into existing systems and workflows.
  • Act as a Subject Matter Expert (SME) in LLMs and generative AI applications.
  • Guide and mentor junior engineers, fostering skill development and team growth.
  • Contribute to architectural decisions and drive technical direction across teams.
  • Continuously evaluate and improve AI model performance, reliability, and scalability.
  • Stay updated with the latest research and advancements in AI/ML and incorporate them into practice.
Required Skills & Qualifications
  • Minimum 7.5 years of hands-on experience in AI/ML, with a focus on Large Language Models.
  • Proficiency in using LLM frameworks and tools (e.g., Hugging Face Transformers, OpenAI APIs, LangChain).
  • Strong programming skills in Python.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with natural language processing (NLP) techniques and model fine-tuning.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Ability to design and deploy scalable AI systems in production environments.
  • Strong problem-solving, team leadership, and communication skills.
Good to Have
  • Experience with retrieval-augmented generation (RAG), prompt engineering, or reinforcement learning with human feedback (RLHF).
  • Familiarity with data pipelines, model monitoring, and responsible AI practices.
Why Join Us
  • Work at the forefront of AI and generative technologies.
  • Collaborate with some of the brightest minds in the industry.
  • Make a tangible impact by building real-world AI solutions.
  • Enjoy continuous learning and leadership development opportunities.
  • Be part of a dynamic and forward-thinking team.
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