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Posted on 25 Jul, 2026
Hybrid
Job Description | Responsibilities
- Design and deploy AI/ML and GenAI solutions.
- Build LLM, RAG, NLP, and deep learning applications.
- Develop ML pipelines using TensorFlow, PyTorch, and Hugging Face.
- Integrate vector databases and LangChain/LlamaIndex.
- Deploy AI models on AWS, Azure, or GCP.
- Collaborate with cross-functional teams and optimize production AI systems.
Overview
- Industry - IT - INFORMATION TECHNOLOGY , IT - Software / Product Development
- Job Role - Technical Lead - Solution Architect - RPA / AI / ML, Lead AI/ML Engineer, Senior AI Engineer, Machine Learning Engineer, Lead Data Scientist
- 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
Scikit-learn
XGBoost
LightGBM
CatBoost
Claude
Gemini
LLaMa
DeepSeek
AI/ML Engineer
Machine Learning Engineer
Machine Learning
LLM Engineer
