data-science

Bosch Group

<div><section><div><p></p><h2>Company Description</h2></div><div><p><strong>At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. </strong><strong>Join in and feel the difference.</strong></p><p>The Robert Bosch GmbH is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><ul><li>We successfully apply a self-driving demo model car in our AI trainings to enhance basic understanding of simple models and Neural Networks in hands-on fashion.</li><li>In this student project, we extent existing functionalities with focus on Data Engineering aspects, i.e. fully automating the underlying MLOps cycle by means of data pipelines and modeling pipelines.</li><li>The ultimate goal is to demonstrate the benefits of automation in a compelling fashion.</li><li>As a data engineering intern, you will develop MLOps pipeline to empower our Demo car demonstrator used in Data and AI trainings.</li><li>You will work on an existing, manual setup and optimize it regarding performance and scalability.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education:</strong> studies in the field of Computer Science, Data Science, STEM or comparable</li><li><strong>Experience and Knowledge:</strong> sound knowledge in programming, preferably in Python, basic understanding of data structures and algorithms and strong problem solving and analytical skills, experience in Data Engineering technologies (batch/stream processing), familiarity with database technologies (SQL), embedded programming and serving tools (dashboarding) are beneficial</li><li><strong>Personality and Working Practice: </strong>analytical, goal-oriented and reliable</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p><strong>Start:</strong> according to prior agreement<br> <strong>Duration:</strong> 6 months – 10 h/week </p><p>Requirement for this working student position is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, enrollment certificate and if indicated a valid work and residence permit.</p><p>Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. #LI-DNI</p><p><strong>Need further information about the job?</strong><br> Stefan Buehler (Business Department)<br> +49 173 5148978</p></div></section></div>

Working student SW Developer for Cloud and Data Engineering (f/m/div.)

remote

5 months ago