Senior Python AI/ML Developer

Papigen

India

On-site

INR 2,000,000 - 4,000,000

Full time

13 days ago
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Job summary

Papigen in India is seeking an experienced Python AI/ML Developer to design scalable AI-powered solutions for an Enterprise Data Management platform. You will build Python applications, implement GenAI and ML capabilities, and support cloud-based data management on Azure.

You will work with FastAPI, Streamlit, Pandas, AsyncIO, and ML models for anomaly detection and time-series analytics, while collaborating in Agile teams and contributing to code reviews, testing, and production support.

Qualifications

  • 8+ years of experience in Python development and Enterprise Data Management.
  • Hands-on experience with Python, FastAPI, Streamlit, Pandas, AsyncIO, and multithreading.
  • Experience building RAG pipelines, embeddings, and vector search.
  • Familiarity with Azure cloud services and CI/CD practices.
  • Strong SQL skills and data engineering mindset.

Responsibilities

  • Design, develop, and maintain Python-based AI/ML applications for enterprise data management.
  • Build scalable applications using FastAPI, Streamlit, and asynchronous Python.
  • Develop RAG pipelines, vector search, and embeddings.
  • Implement AI agent orchestration using LangGraph or similar frameworks.
  • Build and optimize ML models for anomaly detection, classification, and time-series analytics.
  • Troubleshoot data and reporting issues while ensuring data quality.
  • Develop and optimize SQL queries for enterprise data platforms.
  • Work with Azure cloud services and support deployment of AI/ML solutions.
  • Create technical documentation and collaborate with cross-functional teams.
  • Participate in Agile development, code reviews, testing, and production support.

Skills

Python
AI/ML
FastAPI
Streamlit
Pandas
AsyncIO
Multithreading
SQL
Azure
CI/CD
Pytest
RAG/Embeddings
LangGraph

Tools

Dremio
LangGraph
Azure OpenAI

Job description

Role Overview

We are seeking an experienced Python AI/ML Developer to design and develop AI-powered solutions for an Enterprise Data Management (EDM) platform. The role involves building scalable Python applications, implementing GenAI and Machine Learning capabilities, automating data processes, and supporting cloud-based data management solutions on Azure.

Key Responsibilities
  • Design, develop, and maintain Python-based AI/ML applications for enterprise data management.
  • Build scalable applications using FastAPI, Streamlit, and asynchronous Python.
  • Develop RAG (Retrieval-Augmented Generation) pipelines, vector search, and embeddings.
  • Implement AI agent orchestration using LangGraph or similar frameworks.
  • Build and optimize Machine Learning models for anomaly detection, classification, and time-series analysis.
  • Troubleshoot data and reporting issues while ensuring data quality and reliability.
  • Develop and optimize SQL queries for enterprise data platforms.
  • Work with Azure cloud services and support deployment of AI/ML solutions.
  • Create technical documentation and collaborate with cross-functional teams.
  • Participate in Agile development, code reviews, testing, and production support.
Required Skills
  • 8+ years of experience in Python development and Enterprise Data Management.
  • Strong hands-on experience with Python, FastAPI, Streamlit, Pandas, AsyncIO, and multithreading.
  • Experience with RAG, embeddings, vector databases, and semantic search.
  • Experience with LangGraph or similar AI agent orchestration frameworks.
  • Strong knowledge of Machine Learning using Scikit-learn, anomaly detection, classification, and time-series analytics.
  • Strong SQL skills; experience with Dremio is preferred.
  • Hands-on experience with Microsoft Azure cloud services.
  • Experience with pytest, automated testing, and CI/CD practices.
  • Strong analytical, debugging, and problem-solving skills.
  • Excellent communication and technical documentation skills.
Preferred Skills
  • Experience with Azure OpenAI, Azure AI Search, LangChain, Semantic Kernel, or similar GenAI frameworks.
  • Knowledge of enterprise data management, metadata management, and data governance.
  • Experience working in Agile/Scrum environments.

Skills: langgraph,asyncio,pandas,azure,sql,semantic search,python,machine learning,pytest,azure openai,streamlit,azure ai,rag,fastapi,ml,dremio

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