Sony Internship 2025 | Data Science Intern | Work From Home
Sony Research India has invited applications for the recruitment of Data Science Intern post. It is an entry level position and freshers can apply.
Interested candidates meeting the eligibility criteria can apply online at the earliest.
Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.
Sony Internship 2025 Details:
Experience: Freshers
Post Name: Data Science Intern
Qualification: Bachelor’s or Master’s degree
Batch: Recent Batches
Salary: Rs. 6 – 10 LPA (expected)
Last Date to apply: As soon as possible
Job Locations: Remote work within India
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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 paid internship:
- The paid internship will be for six months starting third week of April 2025.
- The working hours are from 9:00 IST to 18:00 IST (Monday to Friday).
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Education:
- Bachelor’s or Masters degree
Responsibilities:
- Collaborate with research scientists and team members on daily activities, focusing on dashboard development, ML/DL models training, development, and optimization.
- Utilize PyTorch and TensorFlow for deep learning model implementation.
- Employ AWS services such as S3, Athena, and EC2 for efficient data storage, querying, and computation.
- Gain insights into data cleaning techniques, MLOps practices, and dashboard development for predictive models.
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Must-Have Skills:
- Hands-on experience in Python programming.
- Expertise in Supervised and Unsupervised Machine learning models.
- Proficiency in PyTorch, standard machine learning modules and TensorFlow.
- Experience with AWS S3, Athena, and EC2.
- Familiarity with deep learning/machine learning frameworks including scikit-learn.
- Knowledge of custom training and development of deep learning models on large datasets.
Good to Have Skills:
- Expertise in PyTorch.
- Previous experience in developing deep learning models.
- MLOps and Model Deployment.
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How to Apply?
- Interested candidates meeting the eligibility criteria have to apply at the following link:
Apply Online
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