Sony Research India is driving cutting-edge research and development in various locations around the globe, endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields.
Sony looking for fresher graduates with proficiency in Python, having solid understanding of Deep Learning and Transformers for the role of Data Science Intern.
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Job Designation : Data Science Intern
Qualification : Bachelor’s / Master’s Degree
Experience : Freshers
Skill Set :
- Sound knowledge of Python.
- Good knowledge of data analytics and data science.
- Strong understanding in Supervised and Unsupervised Machine learning models using Python
- Solid understanding of MLOps and Model Deployment.
- Good knowledge of Deep Learning /machine learning frameworks including scikit-learn.
- Extensive experience with PyTorch, TensorFlow, and Git repositories.
- Familiar with AWS S3, Athena/SQL, and EC2.
- Knowledge of dashboard development using applications such as Streamlit or other similar tools.
- Expertise in Supervised and Unsupervised Machine learning models.
- Ability to efficiently conduct literature surveys and synthesize research ideas.
- Strong interpersonal skills and a collaborative spirit, with the desire to work as part of a dynamic team.
- Excellent organizational and analytical abilities, with a keen eye for detail.
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Job Description :
- 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.
Duration of the paid internship:
- The paid internship will be for 6 months starting first week of November 2024..
- The working hours are from 9:00 IST to 18:00 IST (Monday to Friday).
Work Location : Remote work India
