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 performan...