Machine Learning 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 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 research, design and development of machine learning tools 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.

• Research, 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
• Work with our Solver / GUI development and Applications teams toward identifying areas of interest that can benefit from machine learning techniques
• Improve and expand existing Optimization, DoE and Machine Learning tools and capabilities written in Java
• Enhance and extend our Python API
• Export and load trained metamodels in C code for H/W-limited devices (e.g. ECUs, microcontrollers etc.)
• 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
• GPA 7.5/10.0
• 2+ years of professional experience on machine learning projects
• 1+ year of hands-on experience with at least one ML framework such as Tensorflow, sci-kit learn or PyTorch
• Deep understanding of statistical and predictive modeling concepts
• Strong programming skills and experience in Java and Python
• 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

• Professional experience with any desktop toolkit (Java Swing, Java FX, SWT, Qt)
• Hands-on experience with Apache Spark, Docker or Kubernetes.
• Solid knowledge of optimization algorithms
• Capability of writing RESTful APIs, including Spring Boot applications
• Professional experience in writing optimized C code for H/W-limited devices

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.