Description

Design, develop, and deploy scalable Generative AI and NLP applications using deep learning and Large Language Models. You will own the end-to-end lifecycle of AI solutions, from model fine-tuning to cloud deployment and orchestration.

Responsibilities

• Build and fine-tune LLM-based applications using Python, TensorFlow, PyTorch, and Hugging Face Transformers.
• Implement prompt engineering strategies and integrate vector databases for AI-driven data retrieval.
• Develop deep learning models for text classification, sentiment analysis, and summarization.
• Orchestrate LLM workflows using LangChain and design agentic AI architectures with AutoGen.
• Deploy and scale machine learning models on Azure or Google Cloud Platform (GCP).

Required Skills

• 8+ years of experience in software development, data science, or data analytics.
• Minimum 2 years of hands-on experience in Generative AI, NLP, and deep learning.
• Strong expertise in Python programming for AI/ML development.
• Proficiency with TensorFlow, PyTorch, and Hugging Face Transformers.
• Deep understanding of Large Language Models (LLMs) and real-world applications.
• Experience with vector databases for AI-driven storage and retrieval.
• Familiarity with LLM orchestration frameworks such as LangChain.
• Experience deploying AI/ML solutions on Azure or Google Cloud Platform (GCP).

Preferred Skills

• Experience with agentic AI architectures and multi-agent frameworks (AutoGen or similar).
• Knowledge or experience in the healthcare domain.
• Experience with AI-powered enterprise applications and scalable ML pipelines.

Key Skills

Education

Any Graduate