Job Chance AI / ML Team Leader(Work from office) :

Role

We're hiring a Leader for our Data Science (DS) team to deliver production-grade ML for industrial systems using time-series and multimodal data (sensor/SCADA/historian, events, maintenance logs, and images/video where relevant).

This is a hands-on role where you'll spend most of your time building and shipping (roughly 70% IC), while also leading and growing the team (roughly 30% people leadership).

You'll work closely with customers and domain SMEs, ship models to production,and evolve our concept from "models" to an autonomous decisioning system: forecasting - detection/diagnosis - optimization - closed-loop actions (with safety + governance).

A key part of the role is advancing our unique IP in closed-loop autonomous operations.

What You'll Do

Own the end-to-end lifecycle: problem framing - data readiness - modeling - deployment - monitoring - iteration.
Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support.




Build scalable foundations for baselines, drift detection, model observability, and incident response.
Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions.
Drive unsupervised/self-supervised initiatives (representations, clustering, change-point detection, weak supervision, active learning).
Develop a practical Reinforcement Learning (RL)/decisioning strategy (offline/safe RL, constrained optimization, simulators/digital twins), with guarded rollout patterns.
Lead and mentor DS talent, set processes, frameworks and quality standards (design/code reviews, documentation, postmortems).
Build and deploy AI / ML solutions / models in production.
Own deployment, monitoring, performance validation, and iteration of models in production.
Identify, document, and progress patentable innovations tied to closed-loop autonomy and product

📌 Team Leader (Mumbai)
🏢 WonderBiz Technologies Pvt.
📍 Mumbai