Staff / Senior Staff Engineer Data Scientist

Infineon Technologies; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading semiconductor firm in Singapore is seeking an experienced Data Scientist to drive AI solutions using advanced analytical methods and tools. The candidate will leverage skills in machine learning, image processing, and natural language processing while working collaboratively to deliver business value. A Master's or PhD is required, alongside at least 5 years of relevant experience. This role focuses on evaluating, developing, and deploying AI models, contributing to innovation within the industry.

Qualifications

• Completed scientific/technical degree (Master's or PhD) in relevant fields.
• Minimum 5 years of experience in AI/ML, with focus on LLM or Generative AI.
• Strong programming skills in Python.

Responsibilities

• Evaluate and apply advanced analytical methods, including AI techniques.
• Develop and deploy AI solutions, documenting methodologies.
• Utilize expertise in image processing and computer vision techniques.

Skills

Machine Learning

Python

Natural Language Processing (NLP)

Deep Learning

Image Processing

Education

Master's or PhD in relevant field

Tools

TensorFlow

PyTorch

Job description

#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. 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.

Click here for more information about Diversity & Inclusion at Infineon.

Your Role

• Evaluate and apply advanced analytical methods and tools, including machine learning, deep learning, and generative AI, to generate actionable predictive and prescriptive insights from image, text, and other data sources.

• Leverage your strong programming skills in languages such as Python and/or R to develop and deploy AI solutions, and to document methodologies and best practices.

• Utilize your expertise in image processing and computer vision techniques, including experience with deep learning frameworks such as TensorFlow, PyTorch etc., to develop and deploy AI models that can analyse and interpret complex image data.

• Design and develop AI agents or chatbots using Large Language Models (LLM), Retrieval‑Augmented Generation (RAG), and agentic frameworks, with a focus on natural language processing and generative AI.

• Actively contributes to the growth of our Data Scientist Community and supports the upskilling of key stakeholders through knowledge sharing and collaboration.

• Deliver valuable solutions to business problems, and present findings and recommendations to management, with a focus on driving business value and impact.

Your Profile

• Successfully completed scientific/technical degree (Master's or PhD), e.g. in the field of data science, computer science, mathematics, physics, electrical engineering or business informatics.
• A minimum of 5 years of relevant work experience in Natural Language Processing (NLP)/ Artificial Intelligence (AI) / Machine Learning (ML), including at least 1 year focusing on LLM, Gen AI, or Agentic AI.
• Excellent communication, analytical, and interpersonal skills, with the ability to interface and get work done across organizational boundaries and cultures.
• Strong proficiency in programming languages such as Python, with experience in data manipulation, analysis, and modelling.
• A good understanding of machine learning and deep learning techniques, with a focus on image processing (object segmentation, identification etc.) and generative AI