Microsoft Applied Sciences Student Worker Opportunities 

Serbia, Central Serbia, Belgrade 

412486003

As an AI Student Worker at Microsoft, you will have the unique opportunity to work alongside top experts in the field of artificial intelligence. You will collaborate on cutting-edge research projects and gain hands-on experience in developing AI-driventhat address real-world challenges. Whether you're interested innatural language processing,computer visionoptimizations in cloudor any other aspectrelated toAI, this student worker opportunitiy will provide you with valuable insights and skills that can jumpstart your career in this rapidly evolving field.

Please have in mind that due to the type of agreement that will be executed, as well as the type of jobs that will be conducted, only applicants that have Serbian citizenship, i.e. do not need to apply for residence and work permit, will be considered.

• pursuing a degree or graduated within the last 12 months with a degree inone ofthe following fields: Electrical Engineering, Computer Science, Data Science, Mathematics, Statistics, or other related fields.
• Solid coding skillsin Pythonor other high-level language.
• Depending on team placement, experience with C-like programming languagesmay bedesirable.
• Experience,projects,or course work applyingMLor other statistical modelstodifferent typesof data, including the application of ML algorithms on large-scale datasetsand understanding of various ML algorithms and evaluation techniquesis preferred.
• Experience withPyTorchor similar frameworkis a plus.
• Passion to learn from your peers,managers, and other stakeholders in theMLdomain.
• Strong interpersonal andcommunicationskills.
• You must be legallyauthorisedto work in Serbia to be eligible for this role. (Legallyauthorised= has citizenship or has been granted a valid visa or work permit).

• Survey and understand state-of-the-art AI solutionsin the area ofteam’s interest.
• Research, develop, andsuggest new ideas inthe implementationof AIsolutionsand ways of metricizing them.
• Research, select and apply appropriate statistical and machine learning techniquesaccording to project goals and constraints.
• Assist inthe integration ofAI solutions intoanoverall product or service.

• teand review the supporting codefor extracting,transforming,or loading of dataandprovidingcritical feedback on issues of data integrity.
• Shareknowledge by clearly articulating results and ideaswithkey