AI/ML DEVELOPER (LLMS, NLP, AND AI APPLICATIONS)

• Develop and fine-tune LLMs and NLP models using Hugging Face Transformers, OpenAI APIs, and LangChain. • Implement retrieval-augmented generation (RAG) for intelligent AI-driven question answering and chatbot applications. • Build and deploy AI models using FastAPI, Flask, and cloud-based inference engines (Azure ML, AWS SageMaker, GCP AI Platform). • Optimize embedding search and vector retrieval using FAISS, Pinecone, and ANN-based search algorithms. • Work on AI model deployment, API integration, and real-time AI application development in production environments. • Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Data Science, or a related field. • Atleast 2-4 years of experience in AI/ML development, NLP, or LLM-based application engineering. • Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. • Strong experience with OpenAI APIs, LangChain, and fine-tuning LLMs for domain-specific applications. • Expertise in developing and deploying AI-powered applications using FastAPI, Flask, or Django. • Hands-on experience with cloud-based AI services such as Azure ML, AWS SageMaker, or GCP AI Platform. • Knowledge of retrieval-augmented generation (RAG) and its implementation for AI-driven automation. • Proficiency in working with vector databases like FAISS, Pinecone, and ChromaDB for efficient search and retrieval. • Familiarity with containerization and orchestration tools such as Docker and Kubernetes for scalable AI deployment. • Strong problem-solving skills with the ability to troubleshoot and optimize AI models for realworld performance. • Excellent communication and teamwork skills to collaborate with AI researchers, engineers, and business teams.