Research Engineer

ZEISS in India

ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics.

ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS’ success story in India is continuing at a rapid pace. 

Further information at ZEISS India.

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)

Area Required Expertise

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

Your ZEISS Recruiting Team: