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Al / ml phd

Al / ml phd

ConfidentialMumbai, India
5 days 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 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
  • Skills Required

    Mqtt, Jax, Predictive Maintenance, anomaly detection, Modbus, GRPC, Pytorch, MLops, Containers, Python

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