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Specialized PhD/postdoc ML research role reduces applicant pool despite Bengaluru metro and known brand.
PhD and postdoc requirement makes transitions from non-research backgrounds unlikely.
Requires PhD plus postdoctoral experience and 4–5 years ML research, making hiring filters very strict.
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Design, develop, optimize, and scale AI/ML algorithms and models targeting real-world applications using Python and ML frameworks.
Conduct research and experiments to solve open-ended engineering problems, develop and enhance rendering techniques for photorealistic images and animations.
Collaborate with cross-functional teams to define problem statements and contribute to technical documentation, research papers, and presentations.
4–5 years of hands-on experience in AI/ML, data science, or related areas with post doctoral fellowship in AI/ML.
Completed Ph.D. in Medical Electronics, Biomedical Engineering, Computer Science, Artificial Intelligence/Machine Learning, Electronics/Electrical Engineering, Information Science, or related engineering fields.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn, including skills in optimization and pruning of AI algorithms, data curation, and management.
Knowledge of Git and strong understanding of algorithms, data structures, and software development fundamentals.
Experienced researcher with post doctoral background and academic excellence in AI/ML-related disciplines.
Hands-on expertise in machine learning algorithm design, prototyping, validation, and scaling using modern ML frameworks and Python.
Comfortable working in R&D settings focused on applied research linking AI/ML techniques to domain-specific real-world applications, including rendering and imaging.