Careers

Machine Learning Engineer

Greece

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Who We Are

Gamma Technologies (GT), the global leader in multi-physics system simulation software, develops a suite of integrated solutions designed to guide and accelerate the engineering transformation of today’s products. Fusing advanced physics with AI algorithms, our platform, GT-SUITE, is used to simulate a broad range of systems from early stage development to digital twin applications across multiple industries including transportation and mobility, marine, aerospace and defense, power and energy, data centers and HVACR.

At Gamma Technologies, our people are the driving force behind our success. We are looking for Machine Learning 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 contribute to the design and development of machine learning software that will provide customized and fully integrated solutions for GT-SUITE, an industry-leading software package for simulating various engineering multi-physics systems found in the automotive, aerospace and many other industries, involving batteries, electromagnetics, fluid, thermal, mechanical, acoustics, chemistry, and control domains. 

  • Create, enhance and maintain functionality for our java-based Machine Learning product that enables GT customers train, assess and deploy metamodels 
  • Prototype, develop and implement advanced data science and machine learning algorithms, customized for the engineering environment we provide solutions for 
  • Work with internal and external users on regression, classification, anomaly detection and digital twin projects 
  • Develop customized user interfaces and workflows in Java Swing 
  • Enhance and extend our Python API 
  • Export and load trained metamodels in C code for H/W-limited devices (e.g. ECUs, microcontrollers etc.) 
  • Work with our Solver / GUI development and Applications teams toward identifying areas of interest that can benefit from machine learning techniques 
  • Share your knowledge through mentoring, reviewing code, and taking part in design discussions 
  • Study and propose state-of-the-art solutions to remain technically current 

What You Will Bring

  • Ptychio/Diploma/M.S. or PhD in Software Engineering, Computer Science, Machine Learning, Mathematics, or related fields with desired GPA 7.5/10.0 
  • 3+ years of programming experience in java  
  • 2+ years of professional experience on machine learning projects 
  • 1+ year of hands-on experience with at least one ML framework 
  • Deep understanding of statistical and predictive modeling concepts 
  • Professional experience in writing optimized C code 
  • Proficient in spoken and written English 
  • Ability to communicate complex ideas and proposed solutions in a clear way 

Additional qualifications & experience to support your application

  • M.S. in Machine Learning or related fields 
  • Professional experience with Java Swing 
  • Solid knowledge of optimization algorithms 

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 Athens, Greece 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.

 

Application Process

  1. Submit Application

    Complete online application with resume and cover letter

  2. Initial Screening

    Phone interview with recruiting team and hiring manager

  3. Technical Interview

    In-depth technical discussion and case study presentation

  4. Team Interview

    Meet with team members and leadership (on-site or virtual)

  5. Offer

    Reference checks and offer discussion

Support

Working at Gamma Technologies

Licensing includes access to structured support resources and platform updates, helping teams maintain continuity across projects and releases.

Engineering-Driven Culture

Technical depth and problem-solving expertise drive decision-making across product development and customer engagement.

Global Collaboration

Distributed teams across North America, Europe, and Asia collaborate on platform development and customer projects.

Documentation Access

Comprehensive technical documentation, modeling guides, and best practice resources

Release Information

Detailed release notes, upgrade guidance, and information on new capabilities

Apply Now

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Connect with a Gamma Technologies Office

Reach out to your regional team to discuss simulation software, engineering services, or technical support needs.