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Job Opportunity - 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/secure 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 an

📌 AI / ML Team Leader WonderBiz (Thane)
🏢 WonderBiz Technologies
📍 Thane