Team Leader - Artificial Intelligence/Machine Learning

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).