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We are looking for an Algorithm Engineer to join our Research & Development team at Neurotechnology. The successful candidate will contribute to the development and enhancement of AI-driven algorithms for biometrics and related applications. This role offers a unique opportunity to work alongside experienced engineers and scientists, gaining hands-on experience in real-world AI projects.
Job Responsibility:
Development and testing of ML, DNN, LLM, VLM algorithms for biometric and AI-driven applications
Optimization of deep learning models for performance and efficiency
AI research by implementing and evaluating new techniques in image processing, pattern recognition, and signal processing
Collaborate with senior engineers to integrate ML solutions into existing products
Stay up-to-date with the latest advancements in ML, DNN, LLM, VLM and AI research
Participate in data preparation and analysis for training and validating AI models
Requirements:
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or a related field
Basic understanding of machine learning, deep learning, and neural networks
Proficiency in programming languages such as Python, C, C++
Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn
Knowledge of computer vision and pattern recognition concepts
Strong analytical and problem-solving skills with a willingness to learn
Nice to have:
Project experience in machine learning or AI
Understanding of training and validating machine learning models
Phd or Master's degree in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or a related field
What we offer:
Competitive salary and performance bonuses
Career growth and learning – access top-tier courses, training programs, and mentorship
Team events and fun perks – annual company events, team buildings, and game nights
Flexibility that works for you – flexible work hours and other arrangements
Health-related bonuses – private health insurance arrangements available
Cutting-edge hardware experience – gain hands-on experience working with A100/H100 GPUs