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Tier-1 brand, metro location, and mid-level ML role increase applicant competition.
Core ML skills are transferable, but industrial computer-vision and energy domain knowledge increases specificity.
Strict academic pedigree, publication record, and specific ML/computer-vision experience required.
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Lead development of advanced AI, machine learning, and computer vision algorithms focused on visual inspection, anomaly detection, diagnostics, and prognostics for large-scale energy equipment.
Analyze large datasets to extract insights and optimize AI/ML models including CNNs and generative models for high performance and scalability.
Collaborate with cross-functional teams to integrate AIML solutions into existing platforms and contribute to intellectual property via invention disclosures and publications.
PhD (0-2 years experience) or Masters (5+ years experience) from premier Indian institution (IISc, IITs) in AIML or related fields.
Strong hands-on experience in machine learning, AI, computer vision, including deep learning architectures like CNNs and Vision Transformers.
Proficiency in programming and frameworks such as Python, TensorFlow, PyTorch, OpenCV; experience with data analysis tools like pandas and NumPy.
Work Experience Required: 0-2 years (PhD) or 5+ years (Masters) in relevant AIML or computer vision domains.
Experienced in applying computer vision and AIML techniques specifically to industrial visual inspection or image-based diagnostics.
Strong research orientation, demonstrated by peer-reviewed publications in reputed AI/ML or computer vision journals and conferences.
Comfortable working in a cross-disciplinary, innovation-driven environment with emphasis on prototype development and translating research into practical solutions.