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 you'll 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 we're 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.
