About the Role

You will build AI agents, work on LLM fine-tuning, integrate
with cloud systems (AWS), and help deploy intelligent solutions in packaging /
manufacturing domains.

Key Responsibilities
Develop, train, fine-tune LLM models for
domain-specific tasks.
Build AI agents, chatbots, and knowledge
assistants.
Integrate AI modules with backend, edge, or cloud
systems (AWS).
Work with DevOps / MLOps / data engineering teams
to deploy models in production.
Monitor model performance, iterate, maintain
models, ensure scalability & reliability.

Required Qualifications & Skills
Bachelor’s / Master’s in Computer Science / AI /
Data Science.
3–5 years experience in AI/ML, specifically with
language models.




Strong experience in LLM fine-tuning, prompt
engineering.
Expertise in AWS (Sagemaker, Lambda, EC2, etc.).
Familiarity with DevOps / CI/CD, containerization
(Docker, Kubernetes).

Advantages
Competitive salary and incentives.
Prospects for professional growth and learning.
Collaborative and dynamic work setting.
Exposure to large-scale government and PSU projects
Health & Accidental Insurance
36 Annual Leaves (15 EL, 10 PTO, 6 ML, 5 RH)
Six-month appraisal cycle

📌 Ai Engineer Noida (India)
🏢 INGSOL
📍 India