• Develop, test, and deploy AI/ML applications using Python and contemporary Generative AI technologies.

• Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Claude, and Gemini to build intelligent applications.

• Develop and implement Retrieval-Augmented Generation (RAG) pipelines to retrieve relevant information and generate context-aware responses.

• Design and optimize prompts to improve the accuracy, relevance, and reliability of LLM outputs.

• Build and integrate REST APIs using FastAPI or Flask to connect AI/ML models with applications.

• Apply fundamental machine learning techniques, including model training, inference, feature engineering, and model evaluation.

• Use frameworks such as LangChain and LlamaIndex to develop LLM-powered applications and workflows.

• Work with basic AI agent frameworks such as LangGraph or CrewAI to build task-oriented AI solutions.

• Process and analyze structured and unstructured datasets using Pandas and NumPy.

• Implement embeddings and vector search to support semantic search and RAG applications.





• Work with SQL and vector databases such as FAISS, Pinecone, Weaviate, or Chroma.

• Assist with deploying AI applications using cloud platforms such as AWS, Azure, or GCP, and containerization tools such as Docker.

• Use Git, Jupyter Notebook, and other development tools to maintain code quality, collaborate with team members, and document solutions.

• Troubleshoot, test, and optimize AI/ML applications for performance, accuracy, and scalability.

Requirements
B.E./B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related engineering discipline from a Tier 1 or Tier 2 college/university.

• 0–3 years of experience in AI/ML development, Generative AI, or software development, including relevant internships and projects.

• Strong programming skills in Python and a good understanding of data structures, algorithms, and object-oriented programming.

• Basic under

📌 AI/ML Developer (India)
🏢 MarketScope
📍 India