Responsibilities
- Collaborate with senior AI engineers and cross-functional teams to develop and implement AI solutions for medical devices.
- Assist in designing, developing, and testing AI algorithms, models, and systems.
- Support the integration of AI technologies into existing medical devices and systems.
- Stay up-to-date with the latest advancements in AI, machine learning, and computer vision.
- Participate in code reviews, troubleshooting, and optimization efforts.
- Document and communicate technical concepts and solutions effectively.
Basic qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Solid understanding of machine learning, computer vision, and deep learning concepts.
- Proficiency in programming languages such as Python or C++.
- Experience with popular AI frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn.
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of statistical analysis and data visualization tools.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Proactive and self-motivated with a strong desire to learn and grow.
Preferred qualifications
- Demonstrated involvement in AI-related projects or research (e.g., coursework, internships, personal projects, publications, contribution to open-source projects).
- Knowledge of medical imaging analysis, signal processing, or healthcare data management.
Tags & focus areas
Used for matching and alerts on DevFound Ai Ai Engineer Machine Learning Computer Vision