Research Engineer

Key Responsibilities:

Model Development & Optimization

• Design and implement AI/ML models for online spectacles centration, fitting and online refraction.
• Develop models for online visual acuity assessment, screen-based testing, or optical prescription estimation.
• Develop models that replaces and enhances online measurement approaches through innovative data and AI-supported methods. With the midterm goal: Data replaces measurement.
• Implement and launch AI based solutions, fulfilling regulatory and legal requirements.

Data Handling & Preprocessing

• Work with multi-modal datasets
• Ensure that necessary data is gathered accurately and efficiently.
• Annotate, normalize, and augment vision-related data for robust model training.

Collaboration & Validation

• Collaborate with vision science experts, optometrists, and product teams to align on accuracy and reliability metrics.
• Validate AI models through lab or clinical studies when applicable.

Documentation & Compliance

• Ensure proper documentation of models, data practices, and support regulatory alignment (e.g., MDR, HIPAA, DPDPA, GDPR if applicable).

Minimum Qualification:

• Education

  : Master's (preferred) or Bachelor’s in Computer Science, AI, Biomedical Engineering, Applied Physics, or related fields.

• Experience

  : 2+ years of experience in AI/ML, with at least

  1 year in or healthcare/vision-based applications

  .

Core Technical Skills (Must-Have):

• Programming- Python (must), OpenCV, NumPy, Pandas
• ML/DL Frameworks- TensorFlow, PyTorch, scikit-learn, Keras
• Mathematical Foundations- Linear algebra, optimization, statistical signal processing
• Data Handling- Image/video pipeline handling, image annotation tools, real-time stream processing
• Version Control- Git, Jupyter, API documentation best practices