Machine Learning Engineer

Infineon Technologies; Malacca City; On-site; MYR 40,000 - 75,000; Full time

Job summary

A forward-thinking company is seeking a skilled software engineer to drive innovation in AI and machine learning. In this role, you will design and implement high-quality software solutions, focusing on the development of AI services that integrate seamlessly into existing IT landscapes. Collaborate with data scientists and engineers to create efficient analytics processes, while also contributing to the scaling and deployment of AI solutions globally. Join a dynamic team that values diversity and inclusion, and be part of a mission to make life easier, safer, and greener through cutting-edge technology.

Qualifications

• 3+ years of experience with relevant technologies in AI and software development.
• Strong analytical skills and problem-solving attitude.

Responsibilities

• Design and implement high-quality software for AI services and solutions.
• Collaborate with cross-functional teams on production systems.

Skills

Python

SQL

Java

C#

Kubernetes

REST API

Machine Learning

Agile Methodologies

Education

Bachelor's degree in Information Technology

Master’s degree in Data Science

Degree in Electrical Engineering

Tools

Kubernetes

Seldon Core

Git

MLFlow

TensorFlow

PyTorch

KNIME

Job description

Job Description

In your new role you will:

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

Your Profile

You are best equipped for this task if you have:

1. Bachelor's / Master’s degree in Information Technology, Data Science, Electrical Engineering or similar.
2. High analytical skills, keen perception, and independent problem-solving attitude to approach new challenges.
3. Solid experience in working in agile teams being self-organized and showing personal responsibility.
4. 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#).
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns in machine learning.
6. Strong communication and presentation skills in English / German and experience working in international teams.
7. Enthusiasm in learning and adapting to new technologies in AI, Machine Learning, and software development.

#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 giving 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.