Al/ml phd

Founding Applied Research Scientist (PhD) — Industrial Intelligence Platform
Location: Mumbai (preferable) | Type: Full-time |

WHO THIS IS FOR
PhD (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 targets

WHAT 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 systems

WHAT 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/compilers

WHAT 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