AI Validation Engineer (f/m/d)

Cinemo; Karlsruhe; Vor Ort; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

A leading technology firm is seeking an AI Validation Engineer to enhance quality assurance methodologies for machine learning systems. The position involves developing validation strategies and collaborating with cross-functional teams to ensure the reliability of AI components used in modern in-vehicle infotainment systems.

Qualifikationen

• Strong foundational knowledge in machine learning principles.
• Proficiency in Python with hands-on TensorFlow or PyTorch.
• Experience with Git for source control.

Aufgaben

• Contribute to AI testing platform implementing validation techniques.
• Analyze ML safety, security, and privacy research.
• Design and maintain test strategies for ML compliance.

Kenntnisse

Machine Learning

Deep Learning

Python

TensorFlow

PyTorch

ML Safety

ML Security

ML Privacy

Git

Jobbeschreibung

Position Description

Cinemo is seeking a highly skilled and motivated AI Validation Engineer (f/m/d) to support the development and integration of advanced quality assurance methodologies for machine learning systems. In this role, you will be responsible for designing and implementing robust validation strategies that ensure the reliability, fairness, and security of AI components within our product portfolio.

You will work closely with cross-functional engineering teams to identify risks, integrate best practices from recent research by providing reliable, scalable automated testing solutions. This position offers a unique opportunity to contribute to the foundational integrity of AI technologies used in modern in-vehicle infotainment systems.

We are looking for a professional who combines technical expertise with a deep commitment to quality and continuous improvement.

In this role, you will:

• Contribute to the development of our AI testing platform by implementing advanced machine learning validation techniques


• Analyze and apply relevant research in the areas of ML safety, security and privacy


• Identify opportunities to integrate emerging testing methodologies into existing workflows


• Design and maintain test strategies to address challenges encountered in ML compliance assessments


• Build and refine customer-specific ML test solutions tailored to real-world applications

What you will need to succeed:

• Strong foundational knowledge in machine learning and deep learning architectures and principles


• Proficiency in Python, with hands-on experience in TensorFlow or PyTorch


• Practical understanding or demonstrated interest in the topics of ML safety, security and privacy


• Experience with Git for source control and containerized development


• Strong organizational and time-management skills with the ability to work independently


• Excellent written and verbal communication skills in English