AI ML Engineer, (Python, Gen AI) || 5 year+ || Noida || Only Immediate Joiner

Role : AI ML Engineer, (Python, Gen AI) Location: Noida Experience: 5 Year+ Job Description Key Responsibilities Design, develop, and deploy AI/ML and Generative AI applications for enterprise use cases. Build and optimize applications using Large Language Models (LLMs) such as GPT, Llama, Claude, or Gemini. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Create AI pipelines using Python and frameworks like LangChain or LlamaIndex. Fine-tune, evaluate, and monitor machine learning and foundation models. Build REST APIs and integrate AI models into enterprise applications. Develop scalable microservices using FastAPI or Flask. Work with cloud platforms such as Azure, AWS, or Google Cloud. Implement prompt engineering, model evaluation, and guardrails. Collaborate with business stakeholders, architects, and data engineers. Follow MLOps best practices for deployment, monitoring, and CI/CD. Required Skills 5+ years of experience in Python development. Strong understanding of machine learning algorithms and NLP. Hands-on experience with Generative AI and LLMs. Experience with: Python LangChain LlamaIndex Hugging Face Transformers OpenAI APIs or Azure OpenAI Vector databases (Pinecone, FAISS, ChromaDB, Weaviate, or Milvus) FastAPI or Flask SQL and NoSQL databases Knowledge of RAG architecture and prompt engineering. Experience with Docker and Kubernetes. Familiarity with Git and CI/CD pipelines. Good understanding of cloud services (Azure preferred, AWS/GCP also valuable). Preferred Skills Experience with AI agents and agentic workflows. Knowledge of MCP (Model Context Protocol). Experience with orchestration frameworks such as LangGraph or CrewAI. Exposure to MLOps tools like MLflow, Kubeflow, or Azure ML. Experience with monitoring and evaluation tools for LLMs. Education Bachelor's or Master's degree in Computer Science, Information Technology, AI, Data Science, or a related field. Role : AI ML Engineer, (Python, Gen AI) Location: Noida Experience: 5 Year+ Job Description Key Responsibilities Design, develop, and deploy AI/ML and Generative AI applications for enterprise use cases. Build and optimize applications using Large Language Models (LLMs) such as GPT, Llama, Claude, or Gemini. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Create AI pipelines using Python and frameworks like LangChain or LlamaIndex. Fine-tune, evaluate, and monitor machine learning and foundation models. Build REST APIs and integrate AI models into enterprise applications. Develop scalable microservices using FastAPI or Flask. Work with cloud platforms such as Azure, AWS, or Google Cloud. Implement prompt engineering, model evaluation, and guardrails. Collaborate with business stakeholders, architects, and data engineers. Follow MLOps best practices for deployment, monitoring, and CI/CD. Required Skills 5+ years of experience in Python development. Strong understanding of machine learning algorithms and NLP. Hands-on experience with Generative AI and LLMs. Experience with: Python LangChain LlamaIndex Hugging Face Transformers OpenAI APIs or Azure OpenAI Vector databases (Pinecone, FAISS, ChromaDB, Weaviate, or Milvus) FastAPI or Flask SQL and NoSQL databases Knowledge of RAG architecture and prompt engineering. Experience with Docker and Kubernetes. Familiarity with Git and CI/CD pipelines. Good understanding of cloud services (Azure preferred, AWS/GCP also valuable). Preferred Skills Experience with AI agents and agentic workflows. Knowledge of MCP (Model Context Protocol). Experience with orchestration frameworks such as LangGraph or CrewAI. Exposure to MLOps tools like MLflow, Kubeflow, or Azure ML. Experience with monitoring and evaluation tools for LLMs. Education Bachelor's or Master's degree in Computer Science, Information Technology, AI, Data Science, or a related field.