AI ML Engineer

Senior AI/ML Engineer (GenAI + Production ML) Experience: 5+ Years Location: Ahmedabad (Work From Office) Job Summary We are looking for a Senior AI/ML Engineer with expertise in Generative AI, LLMs, RAG systems, and production-grade machine learning. The candidate will design, develop, deploy, and optimize AI-powered applications and scalable ML solutions. Key Responsibilities Develop AI/ML and Generative AI applications. Build and deploy LLM-based solutions using OpenAI, Gemini, Claude, Llama, etc. Create RAG pipelines using vector databases. Implement AI agents, prompt engineering, and workflow automation. Design scalable ML pipelines and production AI services. Deploy and monitor models using MLOps best practices. Collaborate with cross-functional teams to deliver AI solutions. Optimize model performance, scalability, and infrastructure costs. Required Skills Python, PyTorch, TensorFlow, Scikit-learn Hugging Face, LangChain, LlamaIndex OpenAI APIs and LLM frameworks RAG, AI Agents, Chatbots, NLP, Deep Learning Vector Databases: Pinecone, Weaviate, Chroma, FAISS, Milvus Cloud Platforms: AWS, Azure, or GCP Docker, Kubernetes, MLflow, Airflow, CI/CD FastAPI or Flask PostgreSQL, MongoDB, Redis Preferred Qualifications Bachelor's/Master's degree in CS, AI, ML, or related field 5+ years in AI/ML Engineering 2+ years in Generative AI/LLM development Experience deploying AI systems at scale Nice to Have CrewAI, AutoGen, LangGraph, Haystack Ollama, vLLM, ONNX, TensorRT Experience with Voice AI, Computer Vision, or Multimodal AI Salary: Best in Industry Employment Type: Full-Time Work Mode: Work From Office (Ahmedabad) Skills: openair,python,gen ai,mlflow,fastapi,rag,nlp,ml Senior AI/ML Engineer (GenAI + Production ML) Experience: 5+ Years Location: Ahmedabad (Work From Office) Job Summary We are looking for a Senior AI/ML Engineer with expertise in Generative AI, LLMs, RAG systems, and production-grade machine learning. The candidate will design, develop, deploy, and optimize AI-powered applications and scalable ML solutions. Key Responsibilities Develop AI/ML and Generative AI applications. Build and deploy LLM-based solutions using OpenAI, Gemini, Claude, Llama, etc. Create RAG pipelines using vector databases. Implement AI agents, prompt engineering, and workflow automation. Design scalable ML pipelines and production AI services. Deploy and monitor models using MLOps best practices. Collaborate with cross-functional teams to deliver AI solutions. Optimize model performance, scalability, and infrastructure costs. Required Skills Python, PyTorch, TensorFlow, Scikit-learn Hugging Face, LangChain, LlamaIndex OpenAI APIs and LLM frameworks RAG, AI Agents, Chatbots, NLP, Deep Learning Vector Databases: Pinecone, Weaviate, Chroma, FAISS, Milvus Cloud Platforms: AWS, Azure, or GCP Docker, Kubernetes, MLflow, Airflow, CI/CD FastAPI or Flask PostgreSQL, MongoDB, Redis Preferred Qualifications Bachelor's/Master's degree in CS, AI, ML, or related field 5+ years in AI/ML Engineering 2+ years in Generative AI/LLM development Experience deploying AI systems at scale Nice to Have CrewAI, AutoGen, LangGraph, Haystack Ollama, vLLM, ONNX, TensorRT Experience with Voice AI, Computer Vision, or Multimodal AI Salary: Best in Industry Employment Type: Full-Time Work Mode: Work From Office (Ahmedabad) Skills: openair,python,gen ai,mlflow,fastapi,rag,nlp,ml