Job 144292

Honeywell

Aws, azure
Python, pyspark
Lambda, django, express
You will be part of a product development that utilizes Industrial automation process data and perform advanced analytics to provide real-time insights

Job Summary

  • You will be part of a product development that utilizes Industrial automation process data and perform advanced analytics to provide real-time insights.
  • Experience with LlamaIndex, Langchain etc., document chunking and storage in vector db, vector/text search retrieval from document chunks, sql db, knowledge graphs, and implementation of multiagents.
  • Demonstrate excellent analytical, technical, interpersonal, be a good team player and be able to perform independently.

Matching Summary

You will be part of a product development that utilizes Industrial automation process data and perform advanced analytics to provide real-time insights.

Skills & Requirements

Must-have

  • AWS, Azure
  • Python, pySpark
  • Lambda, Django, Express
  • Postgres, Mongo, ES
  • LlamaIndex, Langchain
  • vector/text search retrieval
  • multiagents implementation
  • MCP tools integration
  • Data transformation and engineering
  • version control system – git/bitbucket
  • DevOps toolset, Github Copilot

Nice-to-have

  • on-prem deployment of GenAI
  • Industrial Automation Domain experience
  • agile methodologies development
  • AI tools for faster delivery

Key Requirements

  • 5+ years of experience
  • Bachelor’s degree in engineering

Work Rights

Not specified

Tailored Resume

Cover Letter