About the work from home job/internship :
- Researching various optimal methods for instance segmentation
- Studying working principles that improve accuracy and performance
- Modifying CNN architectures to create improve accuracy and performance
- Blend ML + CNN to optimise results
- Model training and transfer learning
Skills Required :
- Domain : CNN, Object detection, Instance /Semantic Segmentation/ML algo
- Frameworks : Keras/Tensorflow /MxNet/ Yolo
- Language : Python/C++
- Tools : Git/Github, Docker(optional)
Who can Apply :
Only those who satisfy at least one or all of these conditions :
- Experienced in segmentation/CNN layers i.e. has trained segmentation model before ( Demonstrated deep domain knowledge, college is no criteria)
- Published paper on CNN/Segmentation or ML (Demonstrated deep domain knowledge, college is no criteria)
- If you don't have 1 & 2, Must have Proven dedication to work hard and learning (if you cracked JEE Mains , only IIT students or exceptional students can come through point 3)
- All of above
Additional Info :
- This internship is well suited for those who want to work deep into CNNs , Object detection , instance Segmentation etc
- This role is also suited for those who want to pursue an MS degree in Deep learning or related AI
- This one-of-its-kind internship offers an option to explore and deep dive into CNN and object detection concepts with mentor support
- The intern will get to work with our founder who is one of the global 40 innovators selected by ARM
- Domain assistance will be provided, but applicants with demonstrated interest or past work experience in above mentioned skills will only qualify
Shortlist for Interviews
List not in order of Merit
Sr No | Name | College |
---|---|---|
1 | Sibasis Nayak | IIT Bombay |
2 | Jebastin Nadar | St. Xavier's College Mumbai |
3 | Mohak | IIT Jammu |
4 | R Tharun Gowda | IIT BHU |
5 | Shreyansh Tripathi | Cluster Innovation Centre University of Delhi |
6 | Dibyanshu Jaiswal | Vellore Institute Of technology Chennai |
7 | Gopalan Iyengar | IIT Bombay |
8 | Shreyan Sood | Delhi Technological University |