
Al/ml phd
2 weeks ago
Job Description
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 01 research agenda for edge inference, time-series modeling, and controland 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
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