Doyou want to join us in helping to fight the world’s most threatening diseasesand enabling access to care for more people around the world? At SiemensHealthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere.

　　AtSiemens Healthineers, we offer you a flexible and dynamic environment withopportunities to go beyond your comfort zone in order to grow personally andprofessionally. Sound interesting? Then come and join our global team as AI Intern - AzureDevOps Data Classification to work on a real-worldproblem involving data classification in the field of engineering. Thesuccessful candidate will be responsible for developing, training, andimplementing a machine learning model to classify data extracted from an AzureDevOps system.

　　Ourglobal team : We are a team of more than 68,000 highly dedicatedemployees across more than 70 countries passionately pushing the boundaries ofwhat’s possible in healthcare to help improve people’s lives around the world.As a leader in the industry, we aspire to create better outcomes andexperiences for patients no matter where they live or what health issues theyare facing. Our portfolio, spanning from in-vitro and in-vivo diagnostics toimage-guided therapy and innovative cancer care, is crucial for clinicaldecision-making and treatment pathways.

　　Ourculture : We are part of an incredible community of scientists,clinicians, developers, researchers, professionals, and skilled specialistspushing the boundaries of what’s possible, to improve people’s lives around theworld. We embrace a culture ofinclusivity in which the power and potential of every individual can beunleashed. We spark ideas that lead to positive impact and continued success.Check our Careers Site at https://www.siemens-healthineers.com/en-us/careers .

　　This is a rolewell suited for a highly motivated student looking to build their skill set andgain hands-on experience. As an AI Intern - Azure DevOps Data Classification , you will be responsible to :

　　Extractand preprocess data from our Azure DevOps server-based engineering problemreport and change request system.

　　Traina machine learning model for text classification using a labeled dataset.

　　Integratethe trained model with Power Automate to automate the classification process.

　　Collaboratewith the Power BI team to present the classified data on a Power BI dashboard.

　　Testand iterate on the solution to ensure accuracy and efficiency.

　　This position may suit you best if you arefamiliar with what is below, andwould like to develop your skills with Healthineers:

　　Passionateabout AI and Machine Learning: You have a strong interest in the field andactively seek learning opportunities to stay up-to-date with the latesttechnologies.

　　Proficientin Python and data manipulation libraries: You're comfortable working withtools like Pandas, NumPy, and Scikit-learn to extract, clean, and analyzedata.

　　Experiencewith text classification models: You understand the fundamentals of NLPand have built or trained models for tasks like sentiment analysis ortopic modeling.

　　Basicunderstanding of automation tools: You've explored platforms like PowerAutomate or Zapier and can grasp the concept of integrating tasksseamlessly.

　　Desireto collaborate and learn: You thrive in a team environment, eager to shareideas and receive guidance from experienced professionals.

　　Required skills and education to have for thesuccess of this role:

　　Currentlyenrolled in a bachelor’s or master’s degree program, majoring in ComputerScience (minimum rising senior preferred).

　　Minimum3.0 GPA (preferred).

　　Strongprogramming skills, preferably in Python or a similar language.

　　Familiaritywith machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow,PyTorch).

　　Experiencewith Azure DevOps and Power BI is a plus.

　　Excellentproblem-solving and analytical skills.

　　Strongcommunication and teamwork skills.

　　At SiemensHealthineers, we value those who dedicate their energy and passion to a greatercause. Our people make us unique as an employer in the med-tech industry. Whatunites and motivates our global team is the inspiration of our common purpose: To innovate for healthcare, building on ourremarkable legacy of pioneering ideas that translate into even betterhealthcare products and services. We recognize that taking ownership of ourwork allows both us and the company to grow. We offer you a flexible anddynamic environment and the space to move beyond your comfort zone to grow bothpersonally and professionally.

　　Ifyou want to join us in transforming the way healthcare is delivered, visit ourcareer site at https://jobs.siemens-healthineers.com/careers

　　If you wishto find out more about the specific division before applying, please visit: https://usa.healthcare.siemens.com/about .

　　Bewareof Job Scams

　　Please bewareof potentially fraudulent job postings or suspicious recruiting activity bypersons that are currently posing as Siemens Healthineers recruiters/employees.These scammers may attempt to collect your confidential personal or financialinformation. If you are concerned that an offer of employment with SiemensHealthineers might be a scam or that the recruiter is not legitimate, pleaseverify by searching for the posting on the Career site: https://jobs.siemens-healthineers.com/careers

　　“Successful candidate must be able to work with controlled technologyin accordance with US export control law.” “It is Siemens Healthineers’ policyto comply fully and completely with all United States export control laws andregulations, including those implemented by the Department of Commerce throughthe Export Administration Regulations (EAR), by the Department of State throughthe International Traffic in Arms Regulations (ITAR), and by the TreasuryDepartment through the Office of Foreign Assets Control (OFAC) sanctionsregulations.”

　　As anequal-opportunity employer we are happy to consider applications fromindividuals with disabilities.

　　Legal authorization to work in the U.S. is required. We willnot sponsor individuals for employment visas, now or in the future, for thisjob.

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　　Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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