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Mid-level Bengaluru ML research role with 4–5 years increases applicants, but PhD/postdoc specialization moderates competition.
PhD/postdoc and research-specific skills make transitions from unrelated industries difficult.
Requires PhD and postdoc plus specific ML research skills and frameworks, making shortlisting highly stringent.
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Design, develop, and optimize AI/ML algorithms for real-world applications, focusing on prototype, validation, and scaling using Python and ML frameworks.
Conduct research and experiments to solve open-ended engineering problems, including enhancing 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 experience.
Completed Ph.D. in Medical Electronics, Biomedical Engineering, Computer Science, Artificial Intelligence / Machine Learning, Electronics or Electrical Engineering, Information Science, or related engineering fields.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Knowledge of Git and experience with algorithm optimization and pruning; strong understanding of algorithms and software development fundamentals.
Experienced researcher with postdoctoral fellowship working on applied machine learning projects with a strong focus on algorithmic thinking.
Comfortable working in R&D environments involving interdisciplinary collaboration and open-ended, research-driven problem solving.
Familiar with domain-specific AI applications such as healthcare, signal/image processing, or embedded AI, and experienced in producing research publications or technical documentation.