Please find the job description below- Position: Lead AI/ML Engineer Experience: 7+ Years Location: Indore Employment Type: Full-Time Role Summary Design, develop, deploy, and optimise enterprise AI/ML, Deep Learning, Computer Vision, and Generative AI solutions. Build scalable AI platforms, LLM applications, RAG systems, Agentic AI workflows, AI chatbots/copilots, and intelligent automation while ensuring performance, security, scalability, and production readiness. Key Responsibilities Develop ML, Deep Learning, Computer Vision, and Generative AI applications. Build LLM, RAG, AI chatbot/copilot, and Agentic AI solutions using LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and MCP. Fine-tune, evaluate, optimise, and deploy foundation models (LoRA/QLoRA, PEFT, Hugging Face, Ollama, vLLM, TensorRT-LLM). Design scalable AI architectures, REST APIs, FastAPI/Flask microservices, Docker/Kubernetes deployments, and cloud-native solutions. Develop Computer Vision, OCR, Intelligent Document Processing (IDP), object detection, segmentation, and document intelligence systems. Build model training, inference, CI/CD, MLOps, monitoring, benchmarking, A/B testing, and production pipelines. Collaborate with Product, Data Engineering, DevOps, and MLOps teams; mentor engineers and drive technical best practices. Technical Skills Programming: Python, SQL, Git, REST APIs AI/ML: Supervised & Unsupervised Learning, Feature Engineering, Model Evaluation, Explainability, Time Series, Recommendation Systems Deep Learning: TensorFlow, PyTorch, Hugging Face, CNN, RNN/LSTM/GRU, Transformers, Transfer Learning, Fine-tuning, Quantization Generative AI: LLMs, Prompt Engineering, Embeddings, Function Calling, Context Engineering, Guardrails, AI Safety RAG & Agentic AI: RAG, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, MCP, AI Agents, Multi-Agent Systems, Tool Calling, Vector & Semantic Search Computer Vision: OpenCV, YOLO, Detectron2, OCR (PaddleOCR, EasyOCR, Tesseract), Object Detection, Image Classification & Segmentation, Intelligent Document Processing (IDP) Backend & APIs: FastAPI, Flask, Microservices, JWT/OAuth, Async APIs Databases: PostgreSQL, MySQL, MongoDB, Redis, Pinecone, ChromaDB, FAISS, Weaviate, Milvus Cloud Platforms: Azure (Azure OpenAI, Azure ML, AKS), AWS (Bedrock, SageMaker, ECS/EKS, Lambda), GCP (Vertex AI, Cloud Run, BigQuery) DevOps & MLOps: Docker, Kubernetes, Helm, MLflow, CI/CD, GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Model Registry, Model Monitoring Soft Skills Strong analytical and problem-solving skills, AI system design, performance optimization, debugging, stakeholder communication, mentoring, documentation, and Agile/Scrum collaboration.
