Sony Work From Home Internship Opportunity :-
Sony is hiring candidates for the role of Multimodal AI Intern for the Mumbai/Bengaluru [Work From Home] locations. The complete details about Sony Work From Home Internship Opportunity are as follows.
Company Name:- | Sony |
Required Education: | MS/MSc/MTech/PhD level degree |
Skills Required:. | Python, PyTorch, and Scikit-Learn and other ML and DL libraries, mainly for Multimodal AI tasks. |
Role Type: | Remote – Internship |
Internship Duration: | 6 month Internship (starting February third week of 2025) |
Qualifications
Candidates pursuing or has completed MS/MSc/MTech/PhD level degree in Computer Science, Electronics Engineering, Data Science, Information Science, Artificial Intelligence, Computer Applications or other closely related technical discipline, will be considered for the internship program.
Skills required:
- Strong knowledge and relevant programming experience with Python, PyTorch, and Scikit-Learn and other ML and DL libraries, mainly for Multimodal AI tasks.
- Demonstratable skills of successfully applying state-of-the-art machine learning and deep neural networks-based models to multimodal problems, employing combination of audio, textual and visual data.
- Detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures.
- Strong analytical and problem-solving skills with knowledge of algorithms, signal processing, mathematics for machine learning, probability, statistics and linear algebra.
- Excellent interpersonal skills with effective communication and presentation skills
Good to have Skills:
- Demonstrate research capabilities through relevant publication record in leading journals and conferences.
- Impact driven mindset and ability to work and learn in a collaborative and diverse environment.
- Programming knowledge of using data structure and OOP concepts proficiently in Python, C and C++.
- Programming experience with Scikit-Image, OpenCV with Python and MATLAB would be desirable.
- Familiarity with Linux operating system.
- Participation in Kaggle and other open-source grand challenge competitions.
Job Purpose:
Internships at Sony Research India (SRI) are aimed at offering students with an opportunity to industry exposure and a production level project experience. The primary responsibility in this role will be to positively contribute to the growth and development of innovative technologies at SRI.
During the internship, you will work closely with research scientists and other members in the team on various development and optimization tasks in speech, audio, textual, linguistic, and visual signal analysis. In addition, you’ll be expected to actively work on AI development activities daily, be it training, testing, fixing bugs or other routines for building a robust model.
For this internship program, we are seeking a talented and motivated candidate who is pursuing or has completed MS/MSc/MTech/PhD level degree, to join us as soon as possible, for a duration of at least 6 months. For this internship program, we’re only going to consider candidates who have demonstrable skills and knowledge in Multimodal AI using speech, textual and vision modalities, with strong software development skills in PyTorch and Python.
Skills Required
Duration of the internship:
- The paid internship will be for 6 months starting February third week of 2025.
- The working hours are from 9:00 to 18:00 (Monday to Friday) fulltime.
Company Values:
- Dreams & Curiosity: Pioneer the future with dreams and curiosity.
- Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.
- Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct.
- Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.
Sony Work From Home Internship Opportunity Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds