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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/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 production deployment.

Qualifications

- 8+ years in applied AI / ML technologies, including 2+ years leading teams (hiring, mentorship, performance management).

- Deep experience with time-series ML at scale, ideally with messy industrial data [Ex: Frequency-domain time-series techniques (FFT/spectral analysis) and control/optimization methods (MPC-like approaches)].

- Proven track record of shipping and operating AI / ML solutions in production (MLOps, monitoring, drift, retraining, reliability).

- Strong Python and engineering fundamentals (clean code, testing, production patterns).

- Solid communication, comfortable working directly with customers and cross-functional teams.

Bonus Points

- Offline/safe RL, constrained optimization, and/or simulators/digital twins.

- Self-supervised learning or foundation-model approaches for industrial time-series and multimodal fusion.

- Robotics and / or Industrial domain experience (manufacturing, energy, chemicals, mining, utilities), including safety/uptime/latency/edge constraints.

- Closed-loop or human-in-the-loop decision systems with governance and guardrails.

- Experience contributing to IP strategy, invention disclosures, and patent filings.

Education :

UG:

UG: B.Tech/B.E. in Any Specialization

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Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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