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

Solid programming skills in Python.




Basic understanding of JavaScript / TypeScript (preferred).
Experience in API development using FastAPI or Flask.
Positive 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

Solid 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 Id 1304 Noida
🏢 MarketScope
📍 Noida