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Tier-1 brand, mid-level (3yr) experience, and metro location elevate applicant competition.
Core ML and CV skills are transferable, but industrial inspection expertise increases domain specificity.
Explicit years, advanced degree preference, and specialized Generative AI/CV skills raise shortlisting strictness.
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Advance applied research and engineering of Generative AI and deep learning methods for computer vision tasks including image understanding, synthetic data generation, and visual inspection.
Develop, deploy, and monitor scalable AI models for industrial image inspection addressing issues like limited data, data drift, and model degradation.
Build prototypes and collaborate cross-functionally to integrate AI solutions into production platforms covering the entire computer vision lifecycle.
Ph.D., M.S., or M.Tech in relevant fields from reputed Indian or foreign institutes (e.g., IITs, IISc).
Minimum 3 years of professional or applied research experience in computer vision, deep learning, and Generative AI.
Proficiency in Python and PyTorch with experience in CNNs, transformer-based vision models, and Generative AI techniques such as diffusion models and GANs.
Strong foundation in machine learning and computer vision fundamentals, including skills in model evaluation metrics, rigorous experiment design, and model monitoring.
Experienced researcher or engineer skilled in bridging advanced Generative AI research with real-world industrial computer vision applications.
Comfortable with end-to-end AI lifecycle from data preparation through monitoring and continual model improvement in complex, practical environments.
Capability to collaborate effectively with interdisciplinary and geographically distributed teams to translate complex research into scalable AI solutions.