Overview
About the job:
Key Responsibilities:
1. Structure the plant's production data: extract 6 months of production and packaging data from SAP, clean it, and build it into queryable datasets (product line grade run time) that power delivery prediction.
2. Build decision tools people actually use: a historic run lookup and a Plan-vs-Actuals dashboard on our platform, deployed with the production planning head and floor supervisors, with adoption as the success measure.
3. Codify how the plant actually runs: observe and document the batching and planning logic of senior production staff, and run the weekly plan-vs-actuals review that separates controllable waste from inherent waste.
Who can apply:
Only those candidates can apply who:
Salary:
₹ 6,00,000 /year
Experience:
No experience required
Deadline:
2026-08-05 23:59:59
Skills required:
English Proficiency (Spoken), SAP and Claude
Other Requirements:
- 1. Available full-time and willing to work on-site at a manufacturing plant in Kala Ambh (shop-floor role)
- 2. Advanced Excel skills (mandatory); SQL or Python strongly preferred for handling ERP data
- 3. Engineering background preferred (Mechanical, Production, Industrial, Textile) or operations/analytics graduates with plant exposure
- 4. Proficiency in Hindi for effective shop-floor communication
- 5. Patient and observant mindset to document expertise from experienced floor staff
- 6. Strong interpersonal approach to be seen as a collaborator rather than an auditor
- 7. Comfortable using AI tools for data structuring and documentation
- 8. 0–1 year of experience; final-year students with hands-on data project portfolios can apply
About Company:
DeepThought CultureTech solves execution problems through AI Platform- PD GMS (People Development and Growth Management System).
What is DeepThought, really?
The founders who build 50Cr, 100Cr, 500Cr companies already think scientifically about their product. But that thinking stays stuck in one person. Product rigor next to execution sloppiness. DeepThought closes that gap. We install Scientific Thinking into how companies operate daily, through the PDGMS AI Platform. It is a system where daily work IS hypothesis-test-learn.
The mission started as Sciensation in 2011, became DeepThought EduTech in 2020 and transformed into DeepThought CultureTech in 2025. We transformed from an EdTech into Consulting and now into a AI Platform. Our core has always been servant leadership and scientific thinking. The rich experiences of human capital development and consulting are being used to codify the first principles of PDGMS AI Platform.