- 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

- Robust 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.

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