Key Skills

Job Description

Company Description SensAi Technologies is dedicated to empowering individuals through a unique blend of boxing coaching and holistic well-being. The company focuses on personalized, one-on-one training sessions led by champion-level boxing coaches, helping clients build physical strength, mental resilience, and effective stress management. SensAi offers flexible scheduling to accommodate busy lifestyles, making it easier for students, professionals, and individuals to prioritize self-care. Beyond fitness, SensAi fosters a welcoming community that supports personal growth, confidence, and long-term wellness. Role Description As an Artificial Intelligence Engineer Intern at SensAi Technologies, you will support the design, development, and testing of AI models that enhance personalized coaching and user well-being experiences. On a day-to-day basis, you will work with pattern recognition and neural network architectures, help prototype and refine NLP-based features, and collaborate with software developers to integrate AI components into production systems. You will assist in data collection, preprocessing, and evaluation of model performance, and help document technical work for internal use. This internship is a hybrid role based in Eindhoven, with a mix of on-site collaboration and work-from-home flexibility. Qualifications Strong foundation in Computer Science, including algorithms, data structures, and software development practices. Knowledge of Pattern Recognition and Neural Networks, with experience implementing or experimenting with machine learning models. Familiarity with Natural Language Processing (NLP) concepts and tools for building conversational or text-based AI solutions. Proficiency in at least one programming language commonly used in AI (e.g., Python) and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field. Ability to work collaboratively in a hybrid environment in Eindhoven, communicate clearly, and document technical work effectively. Interest in sports, wellness, or human performance technologies is a plus, along with prior experience in data analysis or MLOps.

Core Responsibilities

Support the design, development, testing, and evaluation of AI models for personalized coaching and well-being experiences, including pattern recognition, neural networks, and NLP features. Collaborate with software developers to integrate AI components into production systems, assist with data preparation, and document technical work.

Requirements

Applicants should be pursuing or have recently completed a degree in Computer Science, AI, Data Science, or a related field, and have a strong foundation in computer science and machine learning. They should know NLP concepts, be proficient in an AI programming language such as Python, have experience with ML frameworks, and communicate and collaborate effectively; interest in sports or wellness and experience with data analysis or MLOps are advantages.