Description

You will develop and deploy LLM-based solutions using Python and deep learning.

Responsibilities

• Develop, fine-tune, and deploy LLM-based applications using Python.
• Implement GenAI solutions using prompt engineering and vector databases.
• Build and optimize NLP models such as text classification, sentiment analysis, and summarization.
• Use frameworks like LangChain for LLM orchestration.
• Support rapid application development using Streamlit, FastAPI, or Flask.

Required Skills

• 8+ years of overall experience in development, data analytics, or data science.
• 2+ years of hands-on experience with deep learning, NLP, and GenAI technologies.
• Strong Python programming skills.
• Experience with TensorFlow, PyTorch, and Hugging Face Transformers.
• Hands-on experience with vector databases and prompt engineering techniques.
• Solid understanding of large language models and real-world applications.
• Experience deploying AI/ML solutions on Azure or GCP.
• Knowledge of agentic or multi-agent architectures.

Key Skills

Education

Any Graduate