Software Engineer II - Machine Learning

ation, and a global perspective drive our continued success and leadership in the industry.

Your day-to-day tasks will include:

• Work closely with our global team of engineers and product managers in the development of new functionality and tools for our software suite

• Play a vital role in the development of custom projects for our clients

• Understand business requirements and think of solutions in terms of not just the coding implementation, but also a solution that will best serve the driving need

• Optimize and further enhance existing tech solutions and determine the next steps in the evolution

• Work on the algorithmic solving of computational problems

Qualifications you need to have:

• Bachelor's/Master's degree in Engineering, Computer Science or Software Development

• Deep knowledge and experience in AI/ML, both in classical ML processes & algorithms (e.g. xgboost, dimensionality reduction, data exploration) and Deep Learning (e.g. Transformers, GNNs)

• Knowledge of Linear Algebra and Numerical Analysis

• Deep expertise in Python for ML, with proficiency in writing Pythonic code. Familiarity with ML libraries for Python, like TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, SciPy, etc

• Strong problem solving & analytical skills, quick comprehension

• Fluent written and verbal communication skills in English

Qualifications that will be considered**:**

• Experience with Computer-Aided Engineering (CAE) tools and simulation workflows

• Familiarity with CAD data and 3D geometry processing (e.g., mesh manipulation, point clouds, surface analysis)

• Understanding of Natural Language Processing (NLP) techniques and Large Language Models (LLMs)

• Background in C or C++ programming

What we offer:

• Permanent employment contract following a six-month evaluation period

• Competitive salary package

• State-of-the-art and continuously updated equipment (hardware and software)

• Ongoing training in the latest technologies related to the field

• Opportunities for professional growth and skill enhancement

• Private health insurance

• Employee Assistance Program

• Complimentary breakfast and lunch at the company dining hall

• Company-provided transportation to and from the premises

• Fully equipped on-site gym Kato Scholari

• Participation in the company's Private Pension Fund (T.E.A.)

• Ample parking facilities with electric car charging

• Comfortable and modern working environment

Apply now for a place in our team!
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