Job Description
You will be part of a product development that utilizes Industrial automation process data and perform advanced analytics to provide real-time insights.
Responsibilities
- Hands on experience in Design and development with strong technical background to create performant & extendible applicatio
- Proficiency in programming languages & libraries -
- Cloud: AWS, Azure,
- Languages: Python, pySpark
- Framework: Lambda , Django, Express.
- Database: Postgres, Mongo, ES
- Hosting SLM / LLM (Ollama / any other)
- Experience with LlamaIndex, Langchain etc.
- Document chunking and storage in vector db
- vector / text search Retrieval from document chunks, sql db, knowledge graphs (orientDB/ Kuzu /etc)
- Implementation of multiagents
- Integration of MCP tools.
- Added advantage if worked on on-prem deployment of any multiagentic GenAI application.
- Data transformation and Data engineering using Python
- Experience in developments related to Industrial Automation Domain is an advantage
- Preferred development experience with agile methodologies
- Understanding on version control system – git/bitbucket, DevOps toolset, Github Copilot
- Ability to leverage productivity enhancing (AI) tools to enable faster delivery, more features
- Willingness to explore and adopt to new trends and align to organizational goals
- Demonstrate excellent analytical, technical, interpersonal, be a good team player and be able to perform independently
Qualifications
BE/BTech
Exp - 1-3 yrs
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
