Python AI/ML Engineer

• Design, develop, and deploy AI/ML applications using Python.
• Build and optimize machine learning and deep learning models for production environments.
• Develop AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
• Fine-tune and evaluate machine learning models to improve performance and accuracy.
• Develop RESTful APIs and integrate AI models into enterprise applications.
• Work with structured and unstructured datasets for data preprocessing, feature engineering, and model training.
• Collaborate with cross-functional teams including Product, Data Engineering, and DevOps to deliver AI solutions.
• Monitor deployed models, optimize inference performance, and ensure scalability.
• Stay updated with emerging AI/ML technologies and recommend innovative solutions.

Requirements

• 5+ years of hands-on experience in Python development.
• Strong experience with Machine Learning algorithms and model development.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with Generative AI technologies including OpenAI, LangChain, LlamaIndex, or similar frameworks.
• Good understanding of Large Language Models (LLMs), Prompt Engineering, RAG, and AI Agents.
• Experience working with vector databases such as Pinecone, FAISS, ChromaDB, or Milvus.
• Strong knowledge of REST APIs using FastAPI, Flask, or Django.
• Experience with SQL and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Strong understanding of software engineering best practices, design patterns, and version control (Git).