Exciting Leadership Prospect @ V-Spark Deeptech Ventures Private Limited

V-Spark DeepTech Ventures is Vedanta's demand-led industrial innovation platform, incubated within Vedanta and now scaling into an independent, institutionally structured platform. V-Spark systematically sources, validates, and scales startup/MSME deeptech solutions across Vedanta's industrial footprint. As V-Spark builds out its core technology team, we are hiring for the following three roles.
Enterprise AI Architect
Owns the reference architecture for Vedanta's Enterprise Intelligence Layer and all AI applications built on it, in-house or by partners.
Sets technical standards and OT/IT integration patterns, and governs partner architecture, design reviews, and handovers.
Must-haves: 10+ years in software/data engineering with end-to-end architecture ownership of large-scale production platforms; deep hyperscaler cloud experience; robust AI/ML system design knowledge; experience governing external vendors.
Data Scientist
Builds and productionises models across process optimisation,



yield/recovery, quality prediction, predictive maintenance and forecasting.
Acts as technical counterparty to independently validate and stress-test models delivered by external partners.
Must-haves: 5+ years applied data science with models running in production; strong Python/SQL and statistical foundation; time-series/sensor data experience.
Deployment Engineer (AIOps/MLOps / Platform)
Gets applications into production at plant sites and keeps them running — both V-Spark's own builds and partner handovers.
Owns CI/CD, infrastructure-as-code, observability, incident response, and deployment into constrained/edge OT environments.
Must-haves: 4–8 years in DevOps/SRE/MLOps with production ownership; solid with Docker/Kubernetes/Terraform/CI-CD; cloud proficiency; genuine on-call maturity.

Transformational Growth | Woman Leaders are encouraged to apply!

📌 Exciting Leadership Opportunity @ V Spark Deeptech Ventures Private Limited Mumbai (India)
🏢 Vedanta Group
📍 India