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Tier-1 employer plus mid-level ML role, metro location, and popular skillset drive high competition.
Industrial computer-vision and energy-equipment focus plus research publication requirements limit cross-industry transferability.
Explicit PhD/Masters experience bands plus publication and patent expectations create strict filtering.
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Lead development of advanced AIML and computer vision algorithms for visual inspection, anomaly detection, prognostics, and diagnostics in energy equipment.
Analyze large datasets to extract insights and design scalable machine learning models including CNNs and generative models.
Collaborate cross-functionally to integrate AIML solutions, prototype applications, and contribute to patent and research publication efforts.
PhD (0-2 years experience) or Masters (5+ years experience) from premier Indian institutions (IISc, IITs) in AIML or related fields.
Strong hands-on experience with machine learning, computer vision (Image processing, object detection, segmentation, CNNs, Vision Transformers).
Proficiency in Python, TensorFlow, PyTorch, OpenCV, and data analysis tools (pandas, NumPy); experience with software development practices (Git, agile).
Work Experience Required: PhD with 0-2 years or Masters with 5+ years relevant experience.
Experienced in applying AI and computer vision techniques directly to industrial visual inspection or related applications in large-scale equipment contexts.
Demonstrates ability to produce research outcomes with publication records and contribute to intellectual property creation.
Collaborates effectively across teams to develop prototypes and scalable AIML solutions aligned with strategic initiatives.