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Posted on 11 Aug, 2026
Hybrid
Job Description | Responsibilities
- Design, develop, and deploy scalable AI/ML and Generative AI solutions using Python.
- Build and optimize ML models, LLM applications, RAG pipelines, and AI-powered systems.
- Develop data pipelines, APIs, and production workflows using frameworks such as PyTorch, TensorFlow, and FastAPI.
- Implement MLOps practices for model deployment, monitoring, testing, and continuous improvement.
- Mentor junior engineers and collaborate with product, data, software, and cloud teams
Overview
- Industry - IT - INFORMATION TECHNOLOGY
- Job Role - Senior AI Engineer
- Employment type - Full Time - Permanent
- Work Mode - Hybrid
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
Python
Machine Learning
Generative AI
LLM
RAG
PyTorch
TensorFlow
MLOps
FastAPI