Zeiss Pharmaceuticals
Senior Research Scientist
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
7 August 2026
What they need
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 .
Job purpose
We are seeking a highly motivated and skilled Senior Research Scientist with 4-5 years of experience and a post doctoral fellowship in AI/ML to join our dynamic R&D team. The ideal candidate is passionate about applied machine learning, has strong algorithmic thinking, and possesses excellent communication skills. The role offers an exciting opportunity to work on cutting-edge research and contribute to real-world applications.
Duties and responsibilities
- Design, develop, and optimize algorithms in AI/ML for real-world applications.
- Conduct research and experiments to solve open-ended engineering problems.
- Collaborate with cross-functional teams to define problem statements and develop technical solutions.
- Prototype, validate, and scale AI/ML models using Python and related frameworks.
- Contribute to technical documentation, research papers, and presentations.
- Stay up-to-date with the latest developments in machine learning and related fields.
- Develop and enhance rendering techniques to produce photorealistic images and animations, utilizing advanced shading, lighting, and texturing methods
Qualifications
- 4-5 years of hands-on experience in AI/ML, data science, or related areas. Deep learning, machine learning, recurrent learning, 3D CNNs, foundation models (good to have)
- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Optimization and pruning of AI algorithms
- Data curation, processing, and management
- Strong understanding of algorithms, data structures, and software development fundamentals.
- Knowledge of Git
- Excellent problem-solving and analytical skills.
- Good oral and written communication skills.
- Proven academic excellence.
Educational Requirements
Completed Ph.D. program in one of the following disciplines with post doctoral experience in reputed research institutes
- Medical Electronics
- Biomedical Engineering
- Computer Science
- Artificial Intelligence / Machine Learning
- Electronics or Electrical Engineering
- Information Science
- Related engineering fields
Preferred Exposure
- Experience with research publication, internships, or projects in AI/ML.
- Exposure to domain-specific AI applications (e.g., healthcare, signal/image processing, embedded AI).
- Familiarity with scientific computing tools and environments.
Other Attributes
- Opportunity to work on state-of-the-art AI technologies.
- Collaborative and intellectually stimulating environment.
- Mentorship and guidance from experienced researchers.
- Flexibility for publishing and attending conferences (as applicable).
Job purpose
We are seeking a highly motivated and skilled Senior Research Scientist with 4-5 years of experience and a post doctoral fellowship in AI/ML to join our dynamic R&D team. The ideal candidate is passionate about applied machine learning, has strong algorithmic thinking, and possesses excellent communication skills. The role offers an exciting opportunity to work on cutting-edge research and contribute to real-world applications.
Duties and responsibilities
- Design, develop, and optimize algorithms in AI/ML for real-world applications.
- Conduct research and experiments to solve open-ended engineering problems.
- Collaborate with cross-functional teams to define problem statements and develop technical solutions.
- Prototype, validate, and scale AI/ML models using Python and related frameworks.
- Contribute to technical documentation, research papers, and presentations.
- Stay up-to-date with the latest developments in machine learning and related fields.
- Develop and enhance rendering techniques to produce photorealistic images and animations, utilizing advanced shading, lighting, and texturing methods
Qualifications
- 4-5 years of hands-on experience in AI/ML, data science, or related areas. Deep learning, machine learning, recurrent learning, 3D CNNs, foundation models (good to have)
- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Optimization and pruning of AI algorithms
- Data curation, processing, and management
- Strong understanding of algorithms, data structures, and software development fundamentals.
- Knowledge of Git
- Excellent problem-solving and analytical skills.
- Good oral and written communication skills.
- Proven academic excellence.
Educational Requirements
Completed Ph.D. program in one of the following disciplines with post doctoral experience in reputed research institutes
- Medical Electronics
- Biomedical Engineering
- Computer Science
- Artificial Intelligence / Machine Learning
- Electronics or Electrical Engineering
- Information Science
- Related engineering fields
Preferred Exposure
- Experience with research publication, internships, or projects in AI/ML.
- Exposure to domain-specific AI applications (e.g., healthcare, signal/image processing, embedded AI).
- Familiarity with scientific computing tools and environments.
Other Attributes
- Opportunity to work on state-of-the-art AI technologies.
- Collaborative and intellectually stimulating environment.
- Mentorship and guidance from experienced researchers.
- Flexibility for publishing and attending conferences (as applicable).
Your ZEISS Recruiting Team:
Saptarshi Chowdhury
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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