- Location
- Bangalore - HO, India
- Type
- Full-time
- Department
- Education
- Seniority
- Senior
- Experience
- 25+ years
- Education
- PhD
- Source
- Workday
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.
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
