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AI/ML Engineer (Generative AI | Agentic AI | Azure AI) Employment Type: C2C (Contract) Experience: 45+ Years Work Model: Hybrid (Pan India 2 to 3 Days/Week from Office) Working Hours: 11:00 AM 9:00 PM IST --- ## Job Summary We are looking for a passionate and hands-on AI/ML Engineer with strong expertise in Machine Learning, Generative AI (GenAI), Agentic AI, and Microsoft Azure AI platforms. The ideal candidate will have experience designing, developing, and deploying scalable AI-powered applications using modern ML frameworks, Large Language Models (LLMs), and cloud-native technologies. You will work closely with engineering and research teams to build intelligent AI agents, production-grade machine learning pipelines, and enterprise AI solutions while leveraging Azure AI services and modern MLOps practices. --- ## Key Responsibilities * Design, build, and deploy production-ready Machine Learning models and AI-powered applications. * Develop and implement Generative AI (GenAI) solutions using Large Language Models (LLMs). * Build intelligent AI agents and agentic workflows using modern AI orchestration frameworks. * Design Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings. * Integrate AI capabilities into enterprise applications through REST APIs and microservices. * Deploy and manage ML workloads on Microsoft Azure AI and Data platforms. * Develop scalable ML pipelines using Azure Databricks, Microsoft Fabric, Azure AI Services, and Azure Machine Learning. * Implement AI safety, guardrails, monitoring, explainability, and Responsible AI practices. * Optimize model performance through evaluation, experimentation, prompt engineering, and continuous improvement. * Collaborate with Data Engineers, Backend Developers, Product Teams, and Solution Architects to deliver AI-driven business solutions. * Participate in Proof of Concepts (PoCs), innovation initiatives, and rapid prototyping. * Follow software engineering best practices, CI/CD pipelines, version control, and MLOps standards. --- ## Required Skills ### AI & Machine Learning * Machine Learning * Deep Learning * Supervised & Unsupervised Learning * Model Training & Evaluation * Feature Engineering * Model Deployment * TensorFlow * PyTorch * Scikit-learn ### Generative AI * Large Language Models (LLMs) * Prompt Engineering * Retrieval-Augmented Generation (RAG) * Embeddings * Vector Databases * AI Agents * Agentic AI * Azure OpenAI ### Agent Frameworks * LangChain * LangGraph * Semantic Kernel * CrewAI * AutoGen ### Programming * Python * Pandas * NumPy * FastAPI / Flask * REST APIs ### Azure AI & Cloud * Microsoft Azure * Azure OpenAI Service * Azure AI Services * Azure Machine Learning * Azure Databricks * Microsoft Fabric * Azure AI Foundry * Azure Storage ### MLOps & DevOps * Docker * Kubernetes * Git * CI/CD Pipelines * MLflow * Model Monitoring * Model Registry --- ## Preferred Skills * Reinforcement Learning * AI Safety & Responsible AI * Knowledge Graphs * Semantic Search * Multi-Agent Systems * Vector Databases (Pinecone, FAISS, ChromaDB, Azure AI Search) * Prompt Optimization * Fine-Tuning LLMs * Cloud-native AI application development * Enterprise AI implementations --- ## Qualifications * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. * 45+ years of professional experience in AI/ML Engineering or Software Development. * Strong programming expertise in Python. * Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or equivalent ML frameworks. * Experience building and deploying Machine Learning models in production environments. * Practical experience with Generative AI, LLMs, and AI Agent development. * Hands-on experience with Microsoft Azure AI and cloud-native application development. * Strong understanding of REST APIs, Microservices, and distributed systems. * Experience with Docker, Kubernetes, and modern CI/CD pipelines. --- ## Preferred Candidate Profile * Experience implementing enterprise-scale AI and GenAI solutions. * Hands-on experience with Azure OpenAI Service and Microsoft AI ecosystem. * Knowledge of Agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI. * Experience with RAG architectures, vector databases, embeddings, and AI orchestration. * Familiarity with MLOps, model governance, monitoring, and Responsible AI principles. * Excellent analytical, communication, and problem-solving skills. * Ability to work independently in a collaborative Agile environment. ## Key Skills **Python | Machine Learning | Deep Learning | TensorFlow | PyTorch | Scikit-learn | Generative AI | Large Language Models (LLMs) | Agentic AI | AI Agents | LangChain | LangGraph | Semantic Kernel | CrewAI | AutoGen | Prompt Engineering | RAG | Embeddings | Vector
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