Experience: 8 to 14 Years Location: Bangalore, Pune Immediate joiners Job Details Roles & Responsibilities Architect end-to-end ML systems covering data ingestion, feature engineering, model training, deployment, and monitoring. Design scalable ML pipelines for classical ML, deep learning, and GenAI workloads including LLMs, RAG, embeddings, and semantic search. Select optimal algorithms, frameworks, and cloud platforms to address complex business and technical challenges. Implement model optimization strategies such as quantization, pruning, distillation, and LoRA/QLoRA fine-tuning. Build LLM-powered solutions using prompt engineering, knowledge grounding, agents, and retrieval-augmented generation. Work with top LLMs (GPT-4/5, Llama 3/3.5, Qwen, Claude, Gemini) and integrate vector DBs like Pinecone, Weaviate, Chroma, Milvus. Evaluate and improve LLM and ML model performance, reduce hallucinations, and ensure security and compliance. Lead development of ML, NLP, NER, and deep learnin...