InSiSo Technologies Private Limited | Bengaluru
Paid internship · ₹10,000/month · Fast-track to full-time for strong performers. Must be willing to relocate to Bengaluru.
About InSiSo
InSiSo builds InSiSoNet — a proprietary, hardware-agnostic vision AI architecture that runs entirely on-device, with no cloud dependency. Our models are trained from scratch on our own architecture and deployed on constrained edge silicon, where every millisecond counts.
Bosch Rexroth ctrlX Partner · NVIDIA Inception · Intel ISV Partner · SFAL K-Tech Centre of Excellence (Govt. of Karnataka)
How this role works
The internship is a working assessment, not a queue. If you're performing, we move you to full time quickly — we're not going to make a good engineer wait out a fixed term. That's why relocation readiness matters from day one: full-time here means being in Bengaluru and on client deployments.
What you'll work on
You'll work directly on our proprietary detection models — improving accuracy, shrinking them, and making them run faster on edge hardware.
Improve detection accuracy on industrial and logistics use cases: object detection, quality inspection, defect and anomaly detection
Train and evaluate models on the InSiSoNet pipeline; every change measured against before/after metrics
INT8 quantisation and quantisation-aware training — hold accuracy while cutting size and latency
ONNX export and compilation for edge accelerators
Analyse failure modes on real customer imagery and fix what's actually wrong, not what's easy to fix
Contribute to our internal annotation and training tooling
Document your work so another engineer can reproduce it without asking you
What you need
Core
Strong grasp of object detection architectures — anchor-free heads, feature pyramids, loss design. You should be able to explain why an architecture is shaped the way it is, not just call the API.
PyTorch at depth — custom layers, custom training loops, custom loss functions
Model optimisation: quantisat
📌 Deep Learning Engineering Intern — Edge Vision (India)
🏢 InSiSo Technolgies
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.