Computer Vison Engineer - Python/Image Processing

<p><p><b>Job Description :</b><br/><br/>- Lead data collection campaigns : set up annotated video datasets under varied lighting conditions.

<br/><br/>- Analyze vast amounts of vision data for patterns -<b> 3D and RGB.</b><br/><br/>- Build and iterate on computer vision pipelines in <b>Python/OpenCV or Python/NN </b>to detect color, lighting, reflections etc.

<br/><br/>- Cross compile and<b> deploy vision modules to ARM based SoC</b>s; optimize for <b>CPU/GPU </b>constraints and power budgets.

<br/><br/>- Using CV, signal Processing,<b> solved multiple real world problem</b>s where there was no precedent.

Invented novel algorithms that beat state-of-the-art performance.<br/><br/>- <b>Python & OpenCV :</b> Expert level fluency for<b> image processing, filtering</b>, optical flows, SVD, PCA.

<br/><br/>- Hands-on with<b> deep learning vision frameworks</b> (TensorFlow, PyTorch) and model quantization for edge inference.

<br/><br/>- Great comfort with traditional <b>DSP techniques</b>, <b>linear algebra.</b><br/><br/><b>Core Competencies :</b><br/><br/>1.

Camera Sensor<br/><br/>2.

Raw Image Manipulation<br/><br/>3.

Normalization of Images under Different Lighting Conditions<br/><br/>4.

Color Correction<br/><br/>5.

Signal Processing.<br/><br/>6.

Implication of Power Budget<br/><br/>7.

Extracting Raw Images from Camera<br/><br/>8.

Hardware-centric R&D<br/><br/>9.

Product-based Company<br/><br/></p><br/></p> (ref:hirist.tech)