Working Student Machine Learning - Munich, Deutschland - Celonis SE
Beschreibung
- We're Celonis, the global leader in execution management and process mining technology, and one of the 50 most valuable private companies in the world.
The Team:
Celonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence.
Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis for execution management.
We are a global organization with presence in both Germany and the US. CeloAI Germany has its presence in Munich, Darmstadt, and Aachen.The Role:
As a Working Student Machine Learning, your main mission is to support the design and development of product features, along with the underlying infrastructure, and own the operationalization of solutions deployed in production (MLOps).
You interact closely with software engineers, product managers, and with the Go-to-Market organization, to build scalable and high quality AI/ML features and solutions for our customers.
The location of this position isMunich, Germany.
The work you'll do:
- Improve the quality of our products by developing features as well as improving our ML pipelines and models
- Design, build, and maintain the microservices our products are based upon
- Contribute to the development of robust and low latency infrastructure to train and serve the AI/ML models
The qualifications you need:
- are a student of computer engineering, data science, business informatics, mathematics, or a comparable degree program
- have strong coding skills in Python and are familiar with the libraries for data analysis, modeling, and visualization
- are visionary and don't lose focus even in a fast-changing and dynamic environment
- continuously strive to improve your knowledge and skills
- passionate about developing scalable and efficient AI/ML solutions
What Celonis can offer you:
- The unique opportunity to work within a new category of technology, Execution Management
- Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more)
- Mental wellbeing support (mindfulness tools such as Headspace, virtual events, and more)
- A global and growing team of Celonauts from diverse backgrounds to learn from and work with
- An openminded culture with innovative, autonomous teams
- A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future
About Us
Celonis reveals and fixes inefficiencies businesses can't see, enabling them to perform at levels they never thought possible.
Powered by its market-leading process mining core, the Celonis Execution Management System provides a full set of platform capabilities for business executives and users to eliminate billions in corporate inefficiencies, provide better customer experience and reduce carbon emissions.
Celonis has thousands of implementations with global customers and is headquartered in Munich, Germany and New York City, USA with more than 23 offices worldwide.
Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind.We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws.
As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations.
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