Research Engineer
ZEISS (company site, opens in a new tab)0–1 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize AI/ML algorithms for ophthalmic care applications including diabetic retinopathy, glaucoma, cataract, and surgical interventions.
- Conduct research experiments and prototype AI/ML models using Python and frameworks like TensorFlow, PyTorch; contribute to documentation and research publications.
- Collaborate with cross-functional teams to define problem statements and develop technical solutions; enhance rendering techniques for photorealistic images and animations.
Minimum Requirements
- 0–1 years of hands-on experience in AI/ML, data science, or related areas.
- Completed or in final stages of Ph.D. in Medical Electronics, Biomedical Engineering, Computational Data Science, Computer Science, AI/ML, Electronics/Electrical Engineering, Information Science, or related engineering fields.
- Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, scikit-learn); strong understanding of algorithms, data structures, and software development fundamentals.
- Location: Hybrid role based in Bangalore with mandatory office presence at least three times a week.
Ideal Candidate Profile
- Strong academic background with proven academic excellence, preferably nearing completion of a Ph.D. or recently graduated.
- Experience or exposure to domain-specific AI applications such as healthcare, signal/image processing, or embedded AI through research, internships, or projects.
- Demonstrated ability to conduct research, publish or document findings, and work closely with interdisciplinary teams on AI/ML problem solving and prototyping.