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.

Job Description for AI Research Engineer

 

Carl Zeiss India (Bangalore) Pvt. Ltd. (CZI) is a 100% subsidiary of Carl Zeiss Ag, Germany. Carl Zeiss started direct operations in India in January 1998 and is strongly positioned today with the national headquarter at Bangalore, and branch offices spread across India. Our various business units today include Consumer Optics (Ophthalmic Products Sport Optics), Industrial Quality Solutions, Medical Technology, Research Microscopy Solutions and Vision Care.

CZI is looking for Research Engineering Intern with strong academic background to work on AI/ML algorithms for various ophthalmic care problem definitions ranging from but not limited to Diabetic retinopathy, Glaucoma, primary care, cataract, and surgical interventions.

Job Title: Research Engineer – AI/ML (0–1 Years Experience)
Location: HYBRID. The prospective Candidate should visit our Bangalore office atleast thrice a week
Job Type: Full-time
Experience Level: 0–1 Years
Department: Centre for Application research in India(CARIN)  Group -Advanced Development Team – Focusing on Research & Development / AI & Machine Learning

Job Summary

We are seeking a highly motivated and skilled Research Engineer with 0–1 years of experience 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.

Key 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

 

 

Required Qualifications

• 0–1 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 or currently in the final stages of a Ph.D. program in one of the following disciplines:
  • Medical Electronics
  • Biomedical Engineering
  • Computational data science
  • Computer Science
  • Artificial Intelligence / Machine Learning
  • Electronics or Electrical Engineering
  • Information Science
  • Related engineering fields

 

Preferred Qualifications

• 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.

What We Offer

• 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).

Selection process and rounds

• Two rounds of technical discussion and one HR round

 

Job Description for AI Research Engineer

 

Carl Zeiss India (Bangalore) Pvt. Ltd. (CZI) is a 100% subsidiary of Carl Zeiss Ag, Germany. Carl Zeiss started direct operations in India in January 1998 and is strongly positioned today with the national headquarter at Bangalore, and branch offices spread across India. Our various business units today include Consumer Optics (Ophthalmic Products Sport Optics), Industrial Quality Solutions, Medical Technology, Research Microscopy Solutions and Vision Care.

CZI is looking for Research Engineering Intern with strong academic background to work on AI/ML algorithms for various ophthalmic care problem definitions ranging from but not limited to Diabetic retinopathy, Glaucoma, primary care, cataract, and surgical interventions.

Job Title: Research Engineer – AI/ML (0–1 Years Experience)
Location: HYBRID. The prospective Candidate should visit our Bangalore office atleast thrice a week
Job Type: Full-time
Experience Level: 0–1 Years
Department: Centre for Application research in India(CARIN)  Group -Advanced Development Team – Focusing on Research & Development / AI & Machine Learning

Job Summary

We are seeking a highly motivated and skilled Research Engineer with 0–1 years of experience 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.

Key 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

 

 

Required Qualifications

• 0–1 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 or currently in the final stages of a Ph.D. program in one of the following disciplines:
  • Medical Electronics
  • Biomedical Engineering
  • Computational data science
  • Computer Science
  • Artificial Intelligence / Machine Learning
  • Electronics or Electrical Engineering
  • Information Science
  • Related engineering fields

 

Preferred Qualifications

• 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.

What We Offer

• 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).

Selection process and rounds

• Two rounds of technical discussion and one HR round

 

Your ZEISS Recruiting Team:

Saptarshi Chowdhury