Synthetic Data Engineer (Artificial Intelligence Software Technologies)
We are seeking team members to work as a Synthetic Data Engineer in Research and Development activities within the field of Artificial Intelligence Software Technologies.
Synthetic Data Engineers are responsible for creating, analyzing, and optimizing realistic synthetic datasets using techniques such as generative AI, simulation, game engines, augmented reality, and similar methods. They evaluate the accuracy, reliability, and similarity of generated artificial data to real-world data and work to improve the real-world performance of developed AI models.
General Qualifications:
- Bachelor's degree (or current enrollment in MSc/PhD programs) in Computer Engineering, Software Engineering, Mathematics, Electronics, Mechatronics, Aerospace, Aeronautical, Control Engineering or related disciplines
- Proficient in English to a level sufficient for reading and interpreting technical documents.
- Proficient in one or more programming languages such as C++, Python, or C#.
- Strong foundation in natural sciences such as Mathematics, Physics, and Geometry.
- Knowledge of Generative AI and Synthetic Data Generation.
- Ability to analyze complex problems and develop effective solutions.
- Adaptable to a high-paced work environment and flexible working hours.
- Team-oriented and responsible.
Preferred Qualifications:
- Knowledge and experience with advanced simulation environments and game engines.
- Theoretical knowledge and practical experience in Deep Learning.
- Knowledge and experience in 3D vision, augmented reality, and computer graphics.
- Hands-on experience in game development processes and related projects.
- Knowledge and experience with graphics libraries such as OpenGL.
- Experience in realistic scene creation, environment design, terrain shaping, fine-tuning scenes, and asset management; ability to design and implement logic flows using visual programming tools.