Applied Sciences Student Worker Opportunities
Microsoft
Hybrid 🏡🏢 11 October
Tech & IT Services
Belgrade, Serbia 🇷🇸
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Learn more about our cultural attributes Are you passionate about artificial intelligence and its potential to revolutionize industries and enhance human experiences? Do you want to work with a team of world-class AI researchers and engineers? Microsoft is seeking talented and motivated students to join our AI team for an exciting student worker opportunity.
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-driven solutions that address real-world challenges. Whether you're interested in natural language processing, modern computer vision, optimizations in cloud or any other aspect related to AI, 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.
Read on to learn more about opportunities and apply online!
For the successful completion of your application, we kindly ask you to upload your CV. Start Date: March, 2025Job Type: Student Worker
Please note that this is a part-time position. You will be engaged 6 hours per day for 4 months.
Qualifications
- Currently pursuing a degree in one of the following fields: Electrical Engineering, Computer Science, Data Science, Mathematics, Statistics, or other related fields.
- Solid coding skills in Python or other high-level language.
- Depending on team placement, experience with C-like programming languages may be desirable.
- Experience, projects, or course work applying ML or other statistical models to different types of data, including the application of ML algorithms on large-scale datasets and understanding of various ML algorithms and evaluation techniques is preferred.
- Experience with PyTorch or similar framework is a plus.
- Passion to learn from your peers, managers, and other stakeholders in the ML domain.
- Strong interpersonal and communication skills.
- You must be legally authorised to work in Serbia to be eligible for this role. (Legally authorised = has citizenship or has been granted a valid visa or work permit).
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Responsibilities
- Survey and understand state-of-the-art AI solutions in the area of team’s interest.
- Research, develop, and suggest new ideas in the implementation of AI solutions and ways of metricizing them.
- Research, select and apply appropriate statistical and machine learning techniques according to project goals and constraints.
- Assist in the integration of AI solutions into an overall product or service.
- Write and review the supporting code for extracting, transforming, or loading of data and providing critical feedback on issues of data integrity.
- Share knowledge by clearly articulating results and ideas with key stakeholders.
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