Machine Learning Engineer

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#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Job Description
In your new role you will:

• Design software, specify software requirements, implement high-quality software, realize automated software testing for productive rollouts, and manage the technological software lifecycle.
• Focus on the development of AI services and solutions that integrate into the existing IT landscape.
• Contribute to creating effective and efficient analytics and AI/ML business processes and oversee aspects of application life cycles, from requirements analysis, design, and implementation phases up to stable operations.
• Collaborate with data scientists, administrators, business analysts, and architects on production systems and applications.
• Solve complex problems with multilayered data sets and optimize the use of existing machine learning libraries and frameworks.
• Contribute to scaling and deployment of existing AI solutions to other sites in our global manufacturing cluster.
• Design and drive the introduction of DevOps / MLOps concepts and automated testing.

Your Profile
You are best equipped for this task if you have:

• A bachelors/master's degree in Information Technology, Data Science, Electrical Engineering, or similar.
• High analytical skills, keen perception, and independent problem-solving attitude to approach new challenges.
• Solid experience in working in agile teams being self-organized and showing personal responsibility.
• At least 3 years of work experience with relevant technologies (e.g. Kubernetes, Seldon Core, Git, REST API, Tekton, MLFlow, Tensorflow, Pytorch, KNIME) and coding languages (e.g. Python, SQL, Java, C#).
• Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns in machine learning.
• Strong communication and presentation skills in English / German and experience working in international teams.
• Enthusiasm in learning and adapting new technologies in the realm of AI, Machine learning, and software development.

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