Job Description :
- Lead data collection campaigns : set up annotated video datasets under varied lighting conditions.
- Analyze vast amounts of vision data for patterns - 3D and RGB.
- Build and iterate on computer vision pipelines in Python / OpenCV or Python / NN to detect color, lighting, reflections etc.
- Cross compile and deploy vision modules to ARM based SoC s; optimize for CPU / GPU constraints and power budgets.
- Using CV, signal Processing, solved multiple real world problem s where there was no precedent. Invented novel algorithms that beat state-of-the-art performance.
- Python & OpenCV : Expert level fluency for image processing, filtering , optical flows, SVD, PCA.
- Hands-on with deep learning vision frameworks (TensorFlow, PyTorch) and model quantization for edge inference.
- Great comfort with traditional DSP techniques , linear algebra.
Core Competencies : 1. Camera Sensor
2. Raw Image Manipulation
3. Normalization of Images under Different Lighting Conditions
4. Color Correction
5. Signal Processing.
6. Implication of Power Budget
7. Extracting Raw Images from Camera
8. Hardware-centric R&D
9. Product-based Company
(ref : hirist.tech)