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Strong Tier-1 employer and metro location but niche research and stringent pedigree requirements reduce applicant density.
Core ML/CV skills transfer across industries, but energy-specific inspection expertise and publication pedigree increase domain specificity.
Strict educational pedigree, publications, and specific ML/CV experience are mandatory filters for shortlisting.
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Lead development of advanced AI, machine learning, and computer vision algorithms for visual inspection, anomaly detection, and diagnostics of large-scale energy equipment.
Design, optimize, and conduct experiments for AIML models including CNNs and generative models, ensuring high performance and scalability.
Collaborate with cross-functional teams to integrate AIML solutions into systems and contribute to intellectual property and scientific publications.
PhD (0-2 years experience) or Masters (5+ years experience) from premier Indian institutions (IISc, IITs) in AIML or related fields.
Strong experience in machine learning, AI, computer vision, including CNNs, Vision Transformers, image processing and object detection.
Proficiency in Python and frameworks such as TensorFlow, PyTorch, OpenCV; familiarity with data analysis (pandas, NumPy) and software best practices (Git, agile).
Work Experience Required: 0-2 years (PhD) or 5+ years (Masters) relevant experience
Experienced in applying AIML and computer vision techniques to industrial visual inspection or real-time object detection challenges.
Proven ability to develop prototypes and proof-of-concepts demonstrating AI solution feasibility in complex industrial contexts.
Strong publication record in peer-reviewed journals/conferences related to AIML and computer vision, indicating research-driven approach and technical depth.