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Job Description

1. Support on-going Data Analytics and Machine Learning research activities.

2. Explore complex problems in the domain of automated driving and train/port models into Tensorflow/caffe

3. Evaluate and compare deep learning algorithms for specific applications and related tasks to improve performance, training, and suitability for embedded applications

4. Participate in technical discussions and in the creation of new ideas for automotive applications within the existing autonomous vehicle research team

5. Maintain close contact to the scientific and industrial community in high performance computer, machine learning and perform scouting and assessment of new approaches

6. Publish technical reports, papers and/or pursue Intellectual Property rights

7. Work closely and effectively with external partners – corporations, universities and automotive suppliers

Job Requirements

1. Demonstrated ability to carry out independent research and lead projects

2. Experience with computer vision, machine learning, DNNs, and Numerical Optimization

3. Experience with sensing systems such as cameras, radar, lidar, GPS, IMUs, etc.

4. Experience with big data, dataflow, data analytics, cloud storage and associated software tools.

5. Possess strong oral and written language skills

6. Present results for internal management and at external venues such as conferences

7. Experience on Tensorflow/Caffe

Self-Driving Cars Levels

Course Description

Self-Driving Cars course with Tensorflow is the course trending all the top MNC's are looking. Self-Driving Cars has been started by top companies like Tesla, Audi, Benz, Ford and Google they are involved aggressively in building self-driving cars. Self-Driving cars combines different fields in order to achieve autonomous driving. At present there are very few companies started with self-driving cars but need for them are much more in future. Pay Scale of a Self-Driving Cars engineer from $1,38,000 to $2,00,000. 

Self-Driving Cars Engineer is a blend of Python Programming, Computer Vision, Robotics and Computer Simulation. Learn self-driving cars with various case studies and driven on various tools to make you best and bold on all topics of Self-Driving Cars.

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