Senior AI/ML Engineer - LLM/Generative AI in Bangalore, भारत

Role Overview : We are looking for a skilled and experienced Senior AI/ML Engineer to design, develop, and deploy AI-powered solutions. The ideal candidate will have hands-on experience in Machine Learning, Generative AI, Large Language Models (LLMs), and AI application https://jobeax.com/link/4QElQTNGM9HINvWI candidate should be comfortable building scalable AI solutions, integrating AI models into production applications, and collaborating with cross-functional teams to deliver business https://jobeax.com/link/pHyn6vZ1PO7WNzVz Responsibilities : - Design, develop, and implement machine learning and AI-based solutions.- Build and deploy Generative AI applications using LLMs and prompt engineering techniques.- Develop Retrieval-Augmented Generation (RAG) pipelines for document processing, knowledge retrieval, and AI-powered search.- Work with frameworks and libraries such as LangChain, LlamaIndex, TensorFlow, PyTorch, and Scikit-learn.- Develop and optimize machine learning models for performance, scalability, and accuracy.- Integrate AI/ML models and LLM APIs into existing applications and business workflows.- Work with vector databases and embedding models for semantic search and knowledge management.- Build REST APIs and backend services to deploy AI solutions into production.- Collaborate with software engineers, product managers, and data teams to identify AI use cases.- Monitor, evaluate, debug, and improve deployed AI models and applications.- Follow best practices for model evaluation, data security, version control, and https://jobeax.com/link/6K228mqDEvef9KNC Technical Skills : - Experience : 3 - 5 years of professional experience in AI/ML engineering or related roles.- Programming : Strong proficiency in Python.- Machine Learning : Knowledge of supervised and unsupervised learning, model training, evaluation, and optimization.- Generative AI : Hands-on experience with LLMs, prompt engineering, and Generative AI applications.- RAG & NLP : Experience building RAG pipelines, text processing workflows, and semantic search solutions.- AI Frameworks : Experience with LangChain, LlamaIndex, Hugging Face, or similar frameworks.- Deep Learning : Familiarity with PyTorch or TensorFlow.- Vector Databases : Experience with FAISS, Pinecone, Chroma, Weaviate, or similar technologies.- API Development : Experience building REST APIs using FastAPI or Flask.- Cloud & Deployment : Knowledge of AWS, Azure, or GCP and experience deploying AI/ML solutions.- Data Handling : Experience with Pandas, NumPy, SQL, and data preprocessing. (ref:hirist.tech)