Sony Hiring Fresher 2024 For its Data Science Intern, Sony Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. IF you are interested, Please apply as soon as possible.
Company Name: Sony
Role: Data Science Intern
Location: Work From Home
Experience: Freshers
Qualification: Bachelors/Masters Degree
Batch: Any Batch
Job Type: Work From Home
Salary: RS.7LPA(Expected)
Sony Hiring Fresher 2024
About the job:
Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research center to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.
Work Location:
Remote work within India.
Duration of the internship:
- The internship will be for 6 months starting first week of August 2024.
- The working hours are from 9:00 IST to 18:00 IST (Monday to Friday) .
Education:
- Master’s or Bachelor’s degree with relevant experience.
Must-Have Skills:
- Strong proficiency in Python 3.x.
- Solid experience and understanding of Deep Learning and Transformers.
- Extensive experience with PyTorch, TensorFlow, and Git repositories.
- Demonstrated research experience with the ability to quickly understand and implement findings from research papers.
Good to Have Skills:
- Knowledge and experience in causal inference and various types of neural networks.
- Previous experience working with recommendation systems.
- Ability to efficiently conduct literature surveys and synthesize research ideas.
Responsibilities:
- Collaborate with research scientists and other team members to contribute to pioneering research on causal recommendation systems and related areas.
- Identify patterns and locate, analyze, and interpret complex data sets.
- Develop, code, and test the validity of innovative algorithms.
- Engage in reading and implementing state-of-the-art research papers.
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