Job Description

Strong experience in building Computer vision applications and Python programming

Job Description:

1.Build and deliver product-critical computer vision models covering a wide range of key features such as detection, segmentation, activity recognition, metric learning etc., 
2.Define and execute the computer vision workflow, which includes data collection, data sampling, model building and training, metrics definition and evaluation
3.Deep Learning experience within computer vision space (Object detection, re-identification, semantic segmentation). Knowledge in multi-object tracking principles and multi-camera calibration.
4.Apply deep learning to vision data, direct experience with TensorFlow. Worked with H264 & MPEG4 video standards, and experience with hardware compression engines, video processing pipelines.
5.Good exposure on computer vision and machine learning algorithms and technologies that are necessary building blocks of interactive, real-time, and immersive systems, including ML/DL techniques to handle 3D data, modeling geometries of 3D objects, parametric and non-parametric models for human body (SMPL-X) and face (3DMM), human pose tracking, computational geometry, and mathematical optimization. 
6.Code review to ensure high quality code in the computer vision components. Experience in deep learning frameworks such as Tensorflow, Pytorch, ONNX, Caffe, etc., Experience in designing novel networks to solve unconventional problems. Experience in designing high level computer vision workflow and pipeline
7.Experience in Image Processing, OpenCV, Python, Linux hands on with Python, Django, Cloud, TensorFlow, Machine Vision Camera experience.
8.Prior experience of managing teams and building large scale AI / CV projects is a big plus – Great interpersonal and communication skills – Expertise into Python, Algorithms, Machine Learning (ML), Data Structures and Artificial Intelligence (AI)
9.General understanding of computer vision concepts (Feature extraction, training regimes, multi-view geometry, bundle adjustment, SLAM etc). Collaborate across functional boundaries in defining architecture, APIs, design, and schedule.
10.Design in action on industry-leading chips embedded in the next generation of AR and VR devices, smartphones and robotics. SLAM, tracking and registration, 3D scene understanding, human pose estimation, sensor fusion, mathematical optimization
11.Strong software, hardware and systems development understanding necessary for building real-time computer vision applications