Research Engineer – AI/ML

Job Summary

We are seeking a highly motivated and skilled Research Engineer with 2+ 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

• 2+ 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)
• Hands on conventional and AI-based Image processing.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Optimization and pruning of AI algorithms
• Knowledge of Git

Educational Requirements

• Completed or currently in the final stages of a Ph.D. program in one of the following disciplines:

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• 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.