Al/ml phd

Founding Applied Research Scientist (PhD) — Industrial Intelligence Platform
Location: Mumbai (preferable) | Type: Full-time |WHO THIS IS FORPhD (or final-year PhD) in AI/ML/CS (or related) who wants their work running on real production lines. You care about solid theory, and you care even more about measurable impact on uptime, yield, and energy.WHY THIS ROLE• Own the 0→1 research agenda for edge inference, time-series modeling, and control—and see it in production quickly• Work directly with founders and pilot customers across chemicals, pharma, food, steel, and energy• Early equity with real upside, plus the autonomy to choose methods and tooling to hit performance targetsWHAT YOU’LL DO• Take ideas from paper to plant: ingest → features → inference → control loop → monitoring/rollback• Design models for non-stationary, multivariate sensor data; quantify uncertainty and detect drift• Optimize for edge and latency (quantization, distillation, pruning, ONNX/TensorRT, streaming inference)• Define datasets, metrics, and SLOs; build evaluation harnesses and ablations that stick• Partner with controls/process engineers to integrate models with existing systemsWHAT WE’RE LOOKING FOR• PhD in AI/ML/CS (or closely related); strong publications or equivalent applied work• Depth in one or more: time-series/state-space models, anomaly detection, predictive maintenance, Bayesian/UQ, RL/MPC for control, physics-informed ML• Solid software fundamentals: Python/C++, PyTorch/JAX, containers, CI/CD, observability• Experience with streaming systems and edge deployment is a plus (ONNX, TensorRT, gRPC)• Bonus: industrial protocols (OPC UA, Modbus, MQTT), MLOps, model compression/compilersWHAT YOU’LL GET• equity, competitive base, and performance incentives with a clear formula• Real ownership of a product area (edge inference and applied research roadmap)• Day-one production impact with access to pilot environments and decision-makers