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Tier-1 brand and Bangalore metro increase competition, but senior niche computer-vision specialization moderates density.
Industrial-scale AIML and computer-vision for energy equipment demands domain-specific expertise, limiting cross-industry fit.
Explicit 10+ years or PhD and specific ML/CV stack requirements make filters stringent.
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Lead development and optimization of advanced AI, machine learning, and computer vision algorithms focused on visual inspection, anomaly detection, prognostics, and diagnostics for large-scale energy equipment.
Analyze extensive datasets to extract insights and drive innovations in computer vision-based diagnostics and product development.
Collaborate cross-functionally to integrate AIML solutions into systems, mentor junior researchers, and drive intellectual property creation through patents and publications.
PhD with 7-10 years relevant experience OR Masters with 10+ years relevant experience from reputed institution.
Extensive expertise in machine learning, artificial intelligence, and computer vision including deep learning architectures such as CNNs and Vision Transformers.
Proficiency in Python and frameworks/libraries like TensorFlow, PyTorch, OpenCV, with strong data analysis skills using pandas and NumPy.
Work Experience Required: 7-10+ years relevant experience as specified. Relocation assistance provided.
Experienced leader capable of guiding cross-functional teams and mentoring junior researchers in AIML and computer vision projects for industrial applications.
Practitioner with proven ability to design and deploy advanced prototypes and scalable solutions in real-world energy or industrial environments.
Research-focused professional with a track record of publishing scientific work and driving innovation through patent filings in AI and computer vision.