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Metro, mid-level role at known brand increases applicants, but PhD/postdoc and research specialization limit pool.
Research-focused PhD/postdoc requirement and imaging/rendering specialization moderately constrain cross-industry transferability.
Strict PhD/postdoctoral requirement, explicit 4–5 years and specialized ML research skills make shortlisting highly selective.
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Design, develop, and optimize AI/ML algorithms applied to real-world problems, including prototyping and scaling models using Python and ML frameworks.
Conduct research to solve open-ended engineering challenges and contribute to technical documentation and research publications.
Develop and enhance rendering techniques for photorealistic images and animations utilizing advanced shading, lighting, and texturing methods.
4–5 years hands-on experience in AI/ML, data science, or related fields.
Completed Ph.D. with postdoctoral experience in relevant disciplines such as AI/ML, Computer Science, Medical Electronics, Biomedical Engineering, Electronics, Electrical or Information Science.
Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn), plus knowledge of Git and software development fundamentals.
Work Experience Required: 4-5 years; Notice Period: Not explicitly mentioned in the JD.
Strong algorithmic thinking and problem-solving skills focusing on applied machine learning research and development.
Experience with deep learning techniques (including recurrent learning, 3D CNNs, foundation models) and optimization/pruning of AI algorithms.
Research-oriented mindset with prior publications or projects in AI/ML and exposure to domain-specific AI applications such as healthcare or embedded AI.