Spatiotemporal Analytics Engineer (Edge) — Junior (0–2 yrs)

Location : Hyderabad, India

About the role : Build real-time detectors for diversion / contraband / bullying by combining statistics, geometry, and lightweight ML on an NVIDIA-accelerated edge box. You’ll turn raw tracks / poses into explainable pattern scores under strict latency budgets.

What you’ll do

Design zone baselines and lead-lag signals (TLCC, CUSUM / BOCPD, Lomb–Scargle, DTW) to flag coordinated decoys.

Encode “encirclement,” “follow,” and “throw” with geometry + pose cues; output evidence-rich JSON.

Write vectorized, well-tested Python (NumPy / PyTorch) that runs Collaborate with our DeepStream / TensorRT pipeline to consume atomic events and emit pattern alerts.

Must-have

Strong algorithms + probability; comfort with time series and change detection.

Python 3.11, NumPy / Pandas, basic PyTorch; unit tests / benchmarks.

Clear thinking about latency, precision / recall, and false-positive tradeoffs.

Nice-to-have

TimescaleDB / Postgres, Grafana / Prometheus.

Experience with tracking / ReID / pose (even coursework level).

Any exposure to DeepStream / TensorRT is a bonus.

Why this is cool

You ship detectors that actually protect people, not slideware.

You’ll work directly with architects and NVIDIA-stack engineers.

Next steps : If interested please email your cover letter and resume to Ashwin at