Sony Internship 2023: Your Chance to Work as a Data Scientist

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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 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.

Key responsibility:

  • Together with the research scientists or other team members, work on custom model training, development, and optimization.
  • Good to have a basic understanding of causal inference and counterfactual prediction models.

Duration:

  • 6 months starting January 2024 first week
  • Monday to Friday between 9AM – 6 PM IST

Essential Education:

  • Master (Computer Science) or bachelor with hands-on experience in Python with experience in deep learning models

Must-have Skills:

  • Pytorch
  • Tensorflow
  • Scikit-learn
  • AWS S3, Athena/SQL, and EC2

Good to have skills:

  • Knowledge of causal Inference and custom training and development of deep learning models.
  • Basic understanding of CV2 and convolution models.
  • Knowledge of generative Al models like CLIP, and diffusion models.

Our 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 of the Sony brand through ethical and responsible conduct.
  • Sustainability: Fulfill our stakeholder responsibilities through disciplined business practices.

Sony Research India is committed to equal opportunity in all its employment practices, policies, and procedures and to ensuring that no worker or potential worker will receive less favorable treatment due to any characteristic protected under applicable local laws.

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