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

Benefits
Competitive salary and incentives.
Opportunities for professional growth and learning.
Collaborative and energetic 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