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Tier-1 employer and metro location increase competition, but specialized senior ML research reduces density.
Strong ML/CV research requirements are transferable yet favor candidates with industrial diagnostics or energy experience.
Explicit PhD/Master experience thresholds and specialized ML/CV skillset enforce strict filtering.
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Lead and manage advanced AI/ML and computer vision projects focused on visual inspection, anomaly detection, prognostics, and diagnostics for energy equipment.
Develop, optimize, and experiment with AIML and computer vision algorithms including CNNs and generative models to ensure performance and scalability.
Collaborate with cross-functional teams to integrate AIML solutions into systems and support knowledge sharing, intellectual property creation, and solution prototyping.
PhD with 5+ years relevant experience OR Masters with 7+ years relevant experience in AI/ML or related field.
Strong expertise in machine learning, computer vision, image processing, object detection, segmentation, deep learning architectures (CNNs, Vision Transformers).
Proficiency in Python, TensorFlow, PyTorch, OpenCV, and libraries related to data analysis like pandas and NumPy.
Relocation assistance provided. Notice period: Not explicitly mentioned in the JD.
Experienced senior researcher comfortable leading AIML projects with practical industrial applications in energy sector visual inspection and diagnostics.
Capable of experimental design, prototyping, and translating advanced AI concepts into scalable, real-world solutions.
Effective collaborator across multidisciplinary teams with experience in software best practices and contributing to patents and publications.