Back
Tier-1 brand plus metro location but senior specialized ML/CV role reduces applicant density.
Medium because core ML/CV skills transfer across industries, though industrial energy domain experience is preferred.
High due to explicit senior years requirement and deep, mandatory ML/CV technical and research qualifications.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development and optimization of advanced AIML and computer vision algorithms for visual inspection, anomaly detection, prognostics, and diagnostics in large-scale energy equipment.
Oversee data analysis to extract complex patterns and insights, driving innovation in industrial visual inspection and related applications.
Mentor junior researchers, lead cross-functional teams, and drive research initiatives including prototyping, innovation, and intellectual property creation.
PhD with 7-10 years or Masters with 10+ years relevant experience in AIML, computer vision, or related field from a reputed institution.
Proven expertise in machine learning, AI, computer vision techniques including CNNs, Vision Transformers, and image processing.
Proficiency with AIML programming languages and frameworks such as Python, TensorFlow, PyTorch, OpenCV, and data analysis tools like pandas, NumPy.
Experience with software development best practices (version control, agile) and practical application deployment in industrial contexts.
Experienced in applying advanced AIML and computer vision methods to industrial visual inspection and real-time object detection challenges.
Skilled in leading research and development projects that integrate AIML innovations into complex, large-scale systems.
Capable of mentoring researchers and collaborating across engineering and product teams to deliver impactful, scalable AI solutions.