Emmvee Photovoltaic Power Limited - AI / ML Engineer
About the Role
We are looking for a motivated AI/ML Engineer to work across LLM and SLM training, visual defect detection using YOLO models, and multi-agent system development. You will own the full lifecycle from data
preparation and model training to production deployment, with a focus on building reliable, efficient, and domain-specific AI systems.
Key Responsibilities
LLM & SLM Training
• Fine-tune large and small language models (LLMs & SLMs) on domain-specific datasets using SFT, Lo RA, and QLo RA
• Train lightweight SLMs (1 B–7 B parameters) for specific use cases such as defect classification, report generation, anomaly summarisation, and structured data extraction
• Apply preference alignment techniques — RLHF and DPO — to align model outputs with task requirements
• Build and maintain RAG pipelines to ground model responses in domain knowledge
• Evaluate models against task-specific benchmarks and iterate on training data quality
• Optimise inference using v LLM, TGI, or llama.cpp for cost-efficient production serving




Visual Defect Detection – YOLO Models
• Train and fine-tune YOLO models (YOLOv8, YOLO11, YOLO26) for defect detection, segmentation, and classification
• Build annotation pipelines and manage image datasets using Roboflow or Label Studio
• Optimise models for edge and CPU deployment using Tensor RT, ONNX, or Open VINO
• Develop monitoring and retraining workflows to handle real-world data drift in production
Multi-Agent System Development
• Design and build multi-agent workflows using Lang Graph, Crew AI, or Auto Gen
• Define agent roles, implement tool use and function calling, and manage state across agent turns
• Integrate agents with external APIs, databases, and internal services
• Build evaluation and oversight mechanisms for agent reliability and safety in production
MLOps & Deployment
• Package and deploy models as REST APIs using Rapid API, containerised with Docker
• Track experime

📌 Artificial intelligence engineer (Bengaluru)
🏢 Emmvee Technologies
📍 Bengaluru