Research Engineer - AI/ML

Location: Bengaluru (Onsite)

Experience: 5+ Years

Type: Fulltime

Role Description

We are seeking a highly motivated and skilled Research Engineer with Masters with 5+ years oof experience or Ph.D with 3 years of hands-on 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.

What youll do

• Hands on experience in conventional and AI based image processing such as segmentation, classification, registration. Design, develop, and optimize algorithms in AI/ML to aid decision making for real-world clinical applications.
• Excellent coding skills in advanced python
• 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

What were looking for

• Masters with 5+ years of experience OR Ph.D with 3 years of hands-on experience in AI/ML, data science, or related areas. Deep learning, machine learning, recurrent learning, 3D CNNs, foundation models.
• Hands on experience in Image Processing, Computer Vision, (Multi-modal) Deep Learning (Multi Images, Tabular Data, Text descriptions)
• First applicative knowledge in healthcare / ophthalmic health sector / knowledge in ophthalmic biometry
• Profound python skills and Software Engineering skills
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Optimization and pruning of AI algorithms, Data curation, processing, and management
• Excellent problem-solving and analytical skills.
• Good oral and written communication skills.
• Proven academic excellence.

Educational Requirements

Masters or Ph.D. program in one of the following disciplines:

Biomedical Engineering/Computer Science/ Artificial Intelligence / Machine Learning / Information Science OR 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.