About VDiSTiE
VDiSTiE is a next-generation cyber technology company that enables industry verticals to transform their businesses for the digital age. We offer an integrated portfolio of solutions and services built around cybersecurity, cyber intelligence, cyber automation, software services, managed services, professional services including training.
About the internship
Selected intern's day to day responsibilities include:
1. Working on the backend aspect of products
2. Creating prototypes and demonstrating the model behaviour
3. Participating in architecture, development, testing, deployment, operation, maintenance, and enhancement of tools, libraries, frameworks, platform, and software solutions
4. Productionizing machine learning functionalities into core products
5. Being part of evaluation and selection of appropriate technology platform, frameworks, and deployment architecture for products
6. Using innovative ideas to collect, curate, or synthesize data
7. Working on the model problem into a DL framework
8. Building, measuring, and iterating on neural network architectures that effectively solve the problem
9. Validating and testing the solution for real-world environments
10. Writing production-ready code to be deployed in real-world applications
11. Optimizing the solution for accuracy and performance
12. Adding or suggesting new features and capabilities to existing machine learning codebase
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 30th Nov'20 and 4th Jan'21
3. are available for duration of 3 months
4. have relevant skills and interests
Other requirements
1. Hands-on experience with Tensorflow and Python
2. Experience with machine learning Python libraries (Numpy, Pandas, Sklearn, PyTorch) is needed
3. Knowledge and usage of the conversational algorithm required
4. Additional knowledge of OpenCV with Tensorflow for a number of object detection & classification use-cases will be helpful
Perks
Certificate Letter of recommendation 5 days a week
Number of openings
3