Technical Content Development (Computer Vision/Deep Learning) Jobs in Bangalore - Big Vision LLC
Technical Content Development Computer Vision/Deep Learning
Job Description
1. Engaging in content creation for deep learning/computer vision courses
2. Working on technical blog-writing on various assigned topics
3. Conducting research on new trends in AI/ML
4. Performing experiments using different CV/DL algorithms
5. Writing on interesting topics of CV/DL by utilizing the knowledge and expertise gathered through various projects
6. Working with active team members and consulting various application-based interesting blog ideas
7. Providing mentorship to team members on completing their assigned duties and maintaining SLAs
8. Motivating team members to get the best out of them through closely monitoring their performance and work
Only those candidates can apply who:
1. are available for the part time job/internship
2. can start the part time job/internship between 15th Apr'21 and 20th 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. Should have software development knowledge for deploying deep learning models
2. Should have knowledge of model optimization techniques and model deployment on edge-computing devices
3. Should be capable of handling all the assigned tasks without or with minimal supervision
4. Should be a well-rounded, articulate, and ambitious go-getter with can-do energy and an affinity to always getting the job 'done'
5. Should be someone who takes the ball, runs with it, and finds a way to win even when the chips are down
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 4 to 6 Lac/annum
Job Particulars
About Company
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.
