Job Description

You will be part of the Global Supply Chain Advanced Analytics team, which is responsible to develop supply chain data solution that provide actionable and impactful insight. This role is expected to be an innovator in developing use cases, concepts and solutions for Digitalization and Artificial Intelligence system. This role is required to work with cross-functional experts which help to shape and improve Supply Chain processes, Production Network processes and Subcontracted Manufacturing, leveraging on data analytical skillset and systems.

Your Role

Key responsibilities in your new role:

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 Act as an

analytics translator

, communicate complex data-related requirements (from the business) to other parties (e.g. IT) Facilitate interactive design sessions with business user, and use experimentation methods and design tests to optimize visualization experiences

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

Understand business context, identify and scope business requirements and priorities, formulate problem/opportunity statements through rigorous information gathering and analysis as well as clarification of the solutions, initiatives and program to enable effective delivery Continuously explore and evaluate state-of-the-art techniques to improve AI solutions efficiency and effectiveness, stay up-to-date with the latest data science technology, trends, techniques, and best practices, and incorporate the most feasible ones Develop skillset, training systematics, provide expertise and promote mindset of Digitalization, Advance Analytics and Artificial Intelligence including GenAI solutions to the organization Design and drive the introduction of DevOps / MLOps concepts and automated testing

Your Profile

Qualifications and skills to help you succeed:

Bachelor's or Master's degree in

Computer Science, Artificial Intelligence, Applied Mathematics

, or related fields

Strong foundation in deep learning

, with a particular emphasis on generative models A track record of

at least 5 years of relevant software development experience in modern deep learning frameworks

such as PyTorch

At least 3 years of work experience with relevant technologies (e.g. Kubernetes, Seldon Core, Git, REST API, Jenkins, Tekton, MLFlow, Jupyter, Tensorflow, Pytorch, KNIME)

and coding languages (e.g. Python, SQL, Java, C#) High analytical skills and keen perception to approach new challenges Strong communication and presentation skills in English

Contact:

Nathan.Kim@infineon.com

#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 applicants experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

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