The Hi-Tech Robotic Systemz - Computer Vision/Machine Learning Specialist (1-7 Yrs) Gurgaon/Gurugram (Systems/Product Software) by THE HI TECH ROBOTIC SYSTEMZ LTD

XpatJobs (November-2017 से पंजीकृत) ने 9 दिन पहले इस नौकरी को पोस्ट किया था

About The Role : Apply to join our engineering team in the area of self-driving technology, specifically focused on deep learning and computer vision. You will need to have proven technical background in computer science or relevant field, an entrepreneurial spirit in order to come up with new ideas and implement the same. The organization values team player qualities, engineering and technical excellence, and grass roots innovation in a fast paced environment. We work hard, but also like to have a lot of fun What Youll D o: - Responsible for developing computer vision and machine learning based technologies for deployment on embedded processors in autonomous cars, and cloud based data analytics.
-Experiment with real-world data to validate, evaluate and improve the algorithms.
-Responsible for productizing the CV/ML algorithms into product features, with support and guidance from other system engineering teams.
-Profile the software stack, develop and run Performance tests, help minimize inefficiencies/latency and improve performance.
-Development in the modules for Autonomous Urban Navigation Stack and develop Integration tests to validate the various workflows.
-Setup and maintain - Continuous Integration- for features and releases - Coordinate the development with cross functional teams based out of multiple geographies.
-Designing, training and deploying neural networks for complex computer vision problems.
-Keeping up with recent AI research results and implementing/improving on winning DNN algorithms What Youll Need : - Bachelors, Masters in Computer Science, Math, Physics or similarly quantitative-heavy background. PhD is a bonus.
-Proficiency in C/C , Python, Unix/Linux scripting - Experience with OpenCV or other computer vision libraries - Experience with common Machine Learning methods - Experience with Caffe, Theano, Keras or Tensor flow is a plus - Experience with implementing DNNs for computer vision problems such as object classification, object detection and localization, semantic segmentation - Experience with traditional computer vision methods is a bonus

Required Skills : English