Machine Learning Application Engineer

Gamma Technologies; Stuttgart; Hybrid; EUR 125.000 - 150.000; Vollzeit

Zusammenfassung

A leading CAE simulation software provider is seeking a Machine Learning Application Engineer in Stuttgart, Germany. The role focuses on enhancing machine learning capabilities within product applications, leading customer engagements, and conducting applied research. The ideal candidate will hold a relevant degree, have experience with ML tools, and demonstrate strong project management skills. The position offers a hybrid work policy and a competitive salary with additional benefits.

Leistungen

Dynamic team of experts

Opportunity to implement your own ideas

Professional network in various industries

Attractive salary and benefits

Qualifikationen

• Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or related fields.
• Experience with ML tools such as Python libraries and MathWorks.
• Demonstrated ability to work independently and influence cross-functional teams.

Aufgaben

• Lead customer engagements to understand needs and promote adoption.
• Translate customer insights into prioritized roadmap items.
• Conduct applied Machine Learning research and develop case studies.
• Create and deliver advanced training content and walkthroughs.

Kenntnisse

Experience with ML tools (Python libraries, MATLAB, Simulink)

Excellent communication skills

Ability to manage complex projects

Ausbildung

Bachelor’s or Master’s in Engineering, Computer Science, Data Science

Tools

scikit-learn

TensorFlow

PyTorch

MATLAB

Simulink

Jobbeschreibung

Machine Learning Application Engineer

Who We Are

GT, a leading multi-physics CAE simulation software provider, develops a suite of integrated solutions that guides and accelerates the engineering transformation of today’s products in the transportation, power generation, and industrial equipment industries.

At Gamma Technologies, our people are the driving force behind our success. We are looking for Machine Learning Application Engineer who shares our passion for authentic innovation, trusted partnerships, bold decisions and a relentless focus on customer success.

What You Will Do

You will support and evolve our Machine Learning capabilities in our MLA (Machine Learning Assistant) app. The MLA helps users train simulation results from GT-SUITE into ML-based metamodels, for rapid evaluation of different scenarios. Metamodel use cases range from optimization to fast-running surrogate models in “software in the loop” applications, all the way to offering extremely fast on-chip predictivity.

This role blends customer engagement, technical depth, and product management. You’ll work independently and collaboratively to drive innovation, solve complex challenges, and deliver impactful solutions in applied machine learning.

• Lead customer engagements to understand needs and promote adoption
• Translate customer insights into prioritized roadmap items and ensure delivery of high-impact solutions
• Collaborate cross-functionally to improve processes, expand capabilities, and support strategic and GTM initiatives
• Provide expert support for GT’s machine learning applications, guiding customers through onboarding, evaluations, and usage
• Conduct applied ML research and develop case studies across a range of modeling and analysis techniques
• Create and deliver advanced training content and walkthroughs for internal and external audiences
• Contribute to documentation and example libraries, including Python-based ML workflows and API extensions
• Work with development team to manage implementation of features

What You Will Bring

• Bachelor’s or Master’s in Engineering, Computer Science, Data Science, or related field
• Experience with ML tools such as Python libraries (e.g., scikit-learn, TensorFlow, PyTorch) and MathWorks (MATLAB, Simulink)
• Demonstrated ability to work independently, manage complex projects, and influence cross-functional teams
• Excellent communication skills and ability to translate technical concepts into actionable insights.
• Experience with CAE tools is preferred

What we Can Offer You

• Dynamic and highly talented team of experts.
• The opportunity to bring in your own ideas, implement them and make them accessible to a large customer base.
• The opportunity to build a professional network in various branches of industry.
• The primary work location will be our Stuttgart, Germany office. We’ve adopted a hybrid work policy asking employees to report to the office 3 days per work week.
• An attractive salary and additional company benefits.

We’re an Equal Opportunity Employer, dedicated to creating an inclusive workplace for all.