Deep Learning/Computer Vision Jobs in Bangalore - Big Vision LLC
Deep Learning/Computer Vision
Job Description
1. Work with SMEs and other experts in areas like deep learning and computer vision to develop a Tensorflow course to be launched by the company
2. Write on interesting topics of CV/DL utilizing the knowledge and expertise gathered through various projects
3. Contribute and leverage open-source technology
4. Perform a lot of experimentation and rapid prototyping
5. Writing technical blogs on assigned topics
Only those candidates can apply who:
1. are available for the part time job/internship
2. can start the part time job/internship between 12th Apr'21 and 17th May'21
3. are available for duration of 2 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
1. Must have hands-on knowledge in at least one mainstream deep learning framework like TensorFlow or PyTorch
2. Must have excellent knowledge of deep learning and computer vision
3. Must have hands-on experience with a computer vision framework like OpenCV
4. Must have practical and theoretical knowledge of object detection, image segmentation, image classification, pose estimation, etc.
5. Experience with Edge Devices i.e. OAK, Jetson Nano, Raspberry Pi, Arduino would be preferred
6. Knowledge of C++ coding would be preferred
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 4 to 6 Lac/annum
Based on the performance and contribution to the team, you would be assigned additional responsibilities to facilitate instructors on creating the computer vision and deep learning OpenCV courses.
Job Particulars
About Company
Big Vision LLC is an AI consulting firm with deep expertise in advanced Computer Vision and Machine Learning (CVML) research and development. We are responsible for creating online courses in artificial intelligence and computer vision for one of our clients Big Vision LLC.
Founded by Dr. Satya Mallick, an accomplished computer vision and machine learning scientist and engineer, we have worked on a variety of problems including face processing (detection, recognition), object recognition using deep learning, computational photography, augmented reality, document analysis, 3D reconstruction, medical image processing, and 3D cryo-electron microscopy to name a few.
