Microsoft Data Scientist – Internship Opportunities 2023: Apply Now!

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Microsoft Corporation is an American multinational technology corporation headquartered in Redmond, Washington. Microsoft’s best-known software products are the Windows line of operating systems, the Microsoft 365 suite of productivity applications, and the Internet Explorer and Edge web browsers. Its flagship hardware products are the Xbox video game consoles and the Microsoft Surface lineup of touchscreen personal computers. Microsoft ranked No. 14 in the 2022 Fortune 500 rankings of the largest United States corporations by total revenue; it was the world’s largest software maker by revenue as of 2022. It is considered one of the Big Five American information technology companies, alongside Alphabet (parent company of Google), AmazonApple, and Meta Platforms (formerly Facebook, Inc.).

Microsoft Recruitment 

Company Website: www.microsoft.com

Job Role: Data Scientist – Internship

Qualification: Any Graduation/Technical Diploma

Experience: Fresher

Batch: 2024 / 2023 / 2022 / 2021

Salary: Upto 13.8 LPA (Expected)

Job Location: Hyderabad, Bengaluru, Noida

Machine Learning Discipline @ Microsoft:

Microsoft’s tools drive the widespread adoption of Machine Learning and AI on the cloud, by providing a highly productive experimentation and modeling environment to help teams of data scientists and data professionals be highly productive with AI. We design, build and operationalize data science tools and environments to create end-to-end solutions for high value customer & partner scenarios leveraging big
data, scalable systems. Microsoft is continuously investing globally on this technology area to make our products smarter. A few areas where you would see ML applications in Microsoft are:

• Bing • Cortana
• HoloLens • Xbox – Kinect
• Azure Machine Learning • Microsoft OneDrive

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Qualifications

  • Pursuing a bachelor’s or master’s degree in engineering, computer science or related field.
  •  One year of programming experience in an object-oriented language.
  •  Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms.
  • Ability to write clean, well-crafted code with an emphasis on quality, simplicity, durability, and maintainability.
  •  Communicate effectively to surface progress, risks and help needed within the project team.
  • Good to have: Kaggle score, knowledge of C++, C#, and .NET , R / Matlab / Scipy / Pandas / Weka, and scripting languages such as Perl, Python.
  • Experience with Hadoop / Hbase / Pig or Mapreduce / Bigtable / AzureML a plu

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Microsoft Recruitment 

Key Responsibilities:

Data Scientists at Microsoft build and evaluate machine learning models and algorithms to solve realworld problems. You will be expected to demonstrate an ability to learn and adopt relevant new technologies, tools, methods and processes to leverage in your solutions. Work with an interdisciplinary team on real-world applications of computer vision, machine learning geared towards applications for
human communication and well-being.

• Develop highly scalable classifiers, data regression, recommendations and predictive models
• Analyze petabytes of data and mine patterns from logs
• Bring data to life using rich visualizations
• Create language models, speech models, vision models, etc.
• Suggest, collect and synthesize requirements and innovate to create next generation feature sets.
• Enable natural and contextual interactions in apps integrating cognitive and analytics services
• Adapt standard ML methods to best exploit modern parallel environments.
• Implement algorithms that power user and developer-facing products reaching out to millions ofusers. Measure and optimize the quality of your algorithms.
• Work in product teams shipping large scale end to end applications/solutions.

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How to Apply for Microsoft

  • As always, read the information provided on this page first.
  • After reading, scroll down and click on the apply link.
  • You will be redirected to Microsoft official website.
  • Enter all the required details.
  • After entering the details check them and submit the application.

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