AI/ML Developer (ID 1304)

• Build and deploy intelligent applications using Machine Learning and Generative AI technologies.
  
• Work with Large Language Models (LLMs) such as:
  • OpenAI
    
  • Azure OpenAI
    
  • Claude
    
  • Gemini
    
• Design and develop Retrieval-Augmented Generation (RAG) systems.
  
• Develop scalable APIs using:
  • FastAPI
    
  • Flask
    
• Perform machine learning model training, inference, and evaluation.
  
• Work on prompt engineering for optimizing LLM outputs.
  
• Build and manage AI pipelines using frameworks such as:
  • LangChain
    
  • LlamaIndex
    
  • LangGraph
    
  • CrewAI
    
• Handle structured and unstructured datasets using:
  • Pandas
    
  • NumPy
    
• Work with embeddings and vector search implementations.
  
• Integrate vector databases such as:
  • Pinecone
    
  • FAISS
    
  • Weaviate
    
  • Chroma
    
• Collaborate with teams to integrate AI capabilities into real-world applications.
  
• Use cloud and deployment tools for scalable AI solutions.
  
• Maintain code repositories and development workflows using Git and Jupyter Notebook.
  

Requirements

• Strong programming skills in Python.
  
• Basic understanding of JavaScript / TypeScript (preferred).
  
• Experience in API development using FastAPI or Flask.
  
• Good understanding of:
  • Machine Learning fundamentals
    
  • Model training and inference
    
  • Feature engineering
    
  • Model evaluation metrics
    
• Hands-on experience working with LLM APIs such as:
  • OpenAI
    
  • Azure OpenAI
    
  • Claude
    
  • Gemini
    
• Knowledge of:
  • Prompt Engineering
    
  • Retrieval-Augmented Generation (RAG)
    
• Experience with AI/LLM frameworks:
  • LangChain
    
  • LlamaIndex
    
  • LangGraph
    
  • CrewAI
    
• Strong data handling skills using Pandas and NumPy.
  
• Understanding of embeddings and vector search concepts.
  
• Experience with SQL and vector databases.
  
• Basic knowledge of cloud platforms:
  • AWS
    
  • Azure
    
  • GCP
    
• Familiarity with Docker, REST APIs, Git, and Jupyter Notebook.
  
• Passion for AI/ML and building scalable AI-powered applications.