BASF

BASF ist eines der weltweit führenden Chemieunternehmen, das innovative Lösungen für verschiedene Industrien bietet.

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<h2 class='jobSectionHeader'>WAS DICH ERWARTET</h2><ul><li>Du wirst Forschung zu MLOps-Praktiken und deren Anwendung in der industriellen Prozessautomatisierung durchführen.</li><li>Du benchmarkst verschiedene MLOps-Frameworks (z.B. Airflow, Metaflow, Dagster, Databricks, Kedro, MLFlow, Comet ML, Weights & Biases, Delta Lake), um die Vorteile und Einschränkungen jedes Frameworks anhand eines Beispieldatensatzes zu identifizieren.</li><li>Du entwickelst die effizientesten und geeignetsten MLOps-Pipelines zur Überwachung und Bereitstellung datengetriebener Modelle.</li><li>Zusätzlich schreibst du Unit- und Integrationstests für jede Methode in der Pipeline und erstellst Dokumentationen in Sphinx.</li><li>Du implementierst Daten- und Modellversionierung sowie Modellüberwachung.</li><li>Zuletzt evaluierst und optimierst du Modellbereitstellungsstrategien für CPU- und GPU-Umgebungen.</li></ul><h2 class='jobSectionHeader'>WAS DU MITBRINGST</h2><ul><li>Fortgeschrittenes Masterstudium in Data Science, Informatik, Ingenieurwesen, Physik oder einem verwandten Bereich.</li><li>Starke Kenntnisse in der Python-Programmierung (z.B. PyTorch, Numpy) sowie ein gutes Verständnis der MLOps-Grundlagen.</li><li>Gute Programmierkenntnisse im Schreiben von Unit- und Integrationstests mit pytest.</li><li>Vertrautheit mit Containerisierungs- und Orchestrierungstools wie Docker mit CI/CD-Automatisierung ist von Vorteil.</li><li>Erfahrung mit der Bereitstellung von Modellen in CPU- und GPU-Umgebungen ist von Vorteil.</li><li>Starke Kommunikationsfähigkeiten in Englisch.</li><li>Ausgezeichnete Problemlösungsfähigkeiten und Detailgenauigkeit.</li><li>Fähigkeit, sowohl unabhängig als auch im Team zu arbeiten.</li></ul><h2 class='jobSectionHeader'>WAS WIR BIETEN</h2><ul><li>Praktische Phase - Theorie in herausfordernden und abwechslungsreichen Aufgaben/Projekten aktiv anwenden.</li><li>Teambuddy - Ansprechpartner für alle Fragen und regelmäßiges Feedback.</li><li>Netzwerke - verschiedene Perspektiven, Denkweisen und Arbeitsfelder kennenlernen.</li><li>Praktikumsvergütung - Anerkennung des Engagements, mehr Informationen hier: <a href="http://on.basf.com/compensationBASFSE" rel="nofollow">http://on.basf.com/compensationBASFSE</a></li><li>Flexible Arbeitszeiten - abhängig vom Standort und Arbeitsbereich.</li></ul>

Informatik, Informationstechnik

Ingenieurwissenschaften

Physik

Master

Abschlussarbeit

Einsteiger

Junior

Englisch

Tauche ein in die Welt der MLOps und Data Science für industrielle Prozessautomatisierung. Erforsche MLOps-Praktiken, entwickle effiziente Pipelines und optimiere Modellbereitstellungen. Nutze diese Chance, um an der Spitze der Technologie zu arbeiten. Mache jetzt den Test und finde heraus, ob du geeignet bist.

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>WELCOME TO BASF</b></H2></div><div><p><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">We are a leading global research organization with over 3000 employees working in the field of material and analytical science, chemical synthesis, process development, bioscience, catalysis and digitalization. With our creative and diverse teams as well as our cutting-edge research, we help to make our customers more successful and drive the sustainability transformation.</span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>WHAT YOU CAN EXPECT</b></H2></div><div><p><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">We are seeking a highly motivated and talented individual to join our team for a master thesis project focused on MLOps and Data Science in Industrial Process Automation. This is an exciting opportunity to work on cutting-edge technologies and contribute to the advancement of industrial automation.</span></span></p><ul><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">You will conduct research on MLOps practices and their application in industrial process automation.</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Moreover, you will benchmark different MLOps frameworks (e.g., Airflow, Metaflow, Dagster, Databricks, Kedro, MLFlow, Comet ML, Weights &amp; Biases, Delta Lake) to identify the advantages and limitations of each framework based on sample dataset.</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">You will develop the most efficient and appropriate MLOps pipelines for monitoring and deploying data-driven models.</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">In addition, you will write unit and integration tests for each method in the pipeline as well as compile documentation in Sphinx.</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">You will implement data and model versioning as well as model monitoring.</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Last but not least, you will evaluate and optimize model deployment strategies for both CPU and GPU environments.</span></span></li></ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>WHAT YOU OFFER</b></H2></div><div><ul><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">advanced Master´s degree in Data Science, Computer Science, Engineering, Physics, or a related field</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">strong knowledge of Python programming (e.g. PyTorch, Numpy) as well as good understanding of MLOps fundamentals</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">good programming knowledge with writing unit and integration tests using pytest</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">familiarity with containerization and orchestration tools like Docker with CI/CD automation is a plus</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">experience with models deployment in CPU and GPU environments is a plus</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">strong communication skills in English</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">excellent problem-solving skills and attention to detail</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">ability to work independently and as part of a team</span></span></li></ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>WHAT WE OFFER</b></H2></div><div><ul><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Practical phase - actively apply theory in challenging and varied tasks/projects </span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Teambuddy - contact person for all questions and regular feedback</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Networks - get to know different perspectives, ways of thinking and fields of work</span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Internship compensation - a recognition of the commitment, more information here: <a href="http://on.basf.com/compensationBASFSE">http://on.basf.com/compensationBASFSE</a></span></span></li><li><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Flexible working hours - depending on the location and area of work</span></span></li></ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>HOW TO REACH US</b></H2></div><div><ul><li><p><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Do you have any questions about the application process or the position? Please reach out to: Oliver Spigaht, oliver.spigaht@basf.com, Tel.:+49 30 2005-56305</span></span></p></li><li><p><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">First information about our application process can be found here: <a href="http://on.basf.com/applicationprocess">http://on.basf.com/applicationprocess</a>.</span></span></p></li></ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>ABOUT US</b></H2></div><div><p><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">BASF SE, located in Ludwigshafen am Rhein, is the corporate headquarters of the BASF Group and part of the Rhine-Neckar Metropolitan Region. BASF stands for competence in chemistry since 1865 and is represented today in the world's major consumer markets, with a wide range of products. As the largest employer in the region, BASF SE offers multiple career opportunities for students, university graduates and professionals providing also training in over 30 professions. Leisure, sports, culture and a good infrastructure characterize the Rhine-Neckar Metropolitan Region, in which BASF is also involved with numerous activities. Learn more about BASF SE at <a href="http://on.basf.com/BASFSE_LU">http://on.basf.com/BASFSE_LU</a></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Diversity is our greatest strength!</b></H2></div><div><p><span style="font-size:16.0px"><span style="font-family:Arial, Helvetica, sans-serif">Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.</span></span></p></div></div></div>

Zusätzliche Infos - gehören nicht zu Beschreibung:
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Forschung

Entwicklung

Teilweise im Homeoffice möglich

Du wirst an einem spannenden Masterarbeitsprojekt im Bereich MLOps und Data Science für die industrielle Prozessautomatisierung arbeiten. Deine Aufgaben umfassen die Forschung zu MLOps-Praktiken, Benchmarking von MLOps-Frameworks, Entwicklung effizienter Pipelines und Optimierung von Modellbereitstellungsstrategien.

Python-Programmierung

MLOps-Grundlagen

Unit- und Integrationstests mit pytest

Docker mit CI/CD-Automatisierung

Modellbereitstellung in CPU- und GPU-Umgebungen

Forschung zu MLOps-Praktiken

Benchmarking von MLOps-Frameworks

Entwicklung von MLOps-Pipelines

Schreiben von Unit- und Integrationstests

Implementierung von Daten- und Modellversionierung

Evaluierung von Modellbereitstellungsstrategien

Master Thesis Data Science and MLOps for Industrial Process Automation (m/f/d)

Keine Reisebereitschaft nötig

WAS DICH ERWARTETDu wirst Forschung zu MLOps-Praktiken und deren Anwendung in der industriellen Prozessautomatisierung...