Job Description

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 & OptimizationDesign 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 & PreprocessingWork 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 & ValidationCollaborate 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 & ComplianceEnsure proper documentation of models, data practices, and support regulatory alignment (e.g., MDR, HIPAA, DPDPA, GDPR if applicable).

Minimum QualificationEducation: 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:
Itishree Pani