Machine Learning Application Engineer

Gamma Technologies LLC; Stuttgart; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading multi-physics software provider in Stuttgart seeks a Machine Learning Application Engineer to enhance their Machine Learning Assistant app. This role involves customer engagement, collaboration across teams, and providing expert support for machine learning applications. The ideal candidate will have a degree in Engineering or related fields, experience with ML tools like Python, and strong communication skills. The company offers hybrid work arrangements and an attractive salary package.

Leistungen

Dynamic and talented team

Opportunity to implement ideas

Professional networking

Attractive salary and benefits

Qualifikationen

• Experience with machine learning tools and frameworks.
• Ability to manage complex projects effectively.
• Excellent communication skills for translating technical concepts.

Aufgaben

• Support and evolve machine learning capabilities in the MLA app.
• Lead customer engagements and translate insights into actionable solutions.
• Conduct applied ML research and create training content.

Kenntnisse

Machine Learning tools (e.g., scikit-learn, TensorFlow, PyTorch)

Python programming

Communication skills

Project management

Ausbildung

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

Tools

MATLAB

Simulink

Jobbeschreibung

Machine Learning Application Engineer

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.

Who We Are

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.