Artificial Intelligence Software Engineer
We are looking for team members to join our Research and Development activities in the field of Artificial Intelligence Software Technologies.
Candidates will be considered for positions aligned with their expertise in Computer Vision, Image Processing, Deep Learning, Machine Learning, and Large Language Model Applications.
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.
- Proficiency in English with the ability to comprehend and interpret technical documentation.
- Strong command of programming languages such as C++ and Python.
- Solid knowledge of Algorithm Analysis and Data Structures.
- Experience and understanding of software development and testing processes.
- Strong foundation in natural sciences, especially mathematics, physics and geometry.
- Ability to analyze complex problems and produce effective solutions.
- Familiarity and hands-on experience with libraries and development tools used in machine learning and deep learning
- Experience with large datasets, data labeling, data analysis and model training
- Adaptable to a high-paced work environment and flexible working hours.
- Team-oriented and strong sense of responsibility.
- No restrictions on travel.
Preferred Qualifications:
- Practical experience in classical and deep learning-based image processing techniques.
- Hands-on knowledge in areas such as SLAM, visual navigation and route planning.
- Proficiency with frameworks such as TensorFlow, Keras and PyTorch.
- Experience with high-performance parallel computing techniques on GPU and CPU.
- Proficiency in development within a Linux environment.
- Knowledge and experience in developing and using real-time systems.
- Experience working with large language models, including fine-tuning, prompt engineering, and adaptation for specific tasks.
- Experience in audio processing and related models.
- Knowledge and experience in neural network optimization methods (e.g., quantization, pruning).
- Demonstrated history of publications in reputable scientific journals