Senior research engineer - Computer Vision

Lead development and optimization of advanced AI, machine learning, and computer vision algorithms for visual inspection, anomaly detection, prognostics, and diagnostics in large-scale energy equipment.

Oversee and conduct experiments and data analysis to identify complex patterns and validate AIML-based solutions with focus on industrial applications such as defect detection and object recognition.

Mentor junior researchers and collaborate cross-functionally to integrate AIML solutions into products and drive intellectual property generation through patents and publications.

PhD with 7-10 years relevant experience or Masters with 10+ years relevant experience in AI, machine learning, or computer vision from a reputed institution.

Strong expertise in machine learning, computer vision (image processing, object detection, segmentation), deep learning architectures (CNNs, Vision Transformers).

Proficiency in Python, TensorFlow, PyTorch, OpenCV, and data analysis tools like pandas, NumPy; familiarity with software development best practices including version control and agile.

Work Experience Required: 7-10 years (PhD) or 10+ years (Masters) relevant experience.

Experienced researcher or engineer with proven track record of applying AIML and computer vision to practical industrial applications like visual inspection and real-time object detection.

Strategic leader capable of guiding cross-functional teams, mentoring junior researchers, and aligning technical research with business innovation goals.

Skilled at rapid prototyping and demonstrating feasibility of advanced AIML solutions within complex industrial energy contexts.