Senior research engineer - Computer Vision
On-siteBengaluru, Karnataka, India
Job Summary
Lead the development of advanced algorithms and methodologies in artificial intelligence, machine learning, and computer vision to drive process and product innovation. Oversee the analysis of extensive datasets to identify complex patterns for computer vision-based diagnostics and visual inspection of large-scale energy equipment. Architect and optimize convolutional neural networks and generative models to ensure superior performance and scalability, while designing experiments to assess solution efficacy. Collaborate with cross-functional teams to integrate AIML solutions into existing system platforms and mentor junior researchers on project leadership. Drive intellectual property development by authoring invention disclosures and filing patents, and publish research in high-impact scientific journals.
Required Qualifications
- PhD with 7-10 years relevant experience or Masters with 10+ years relevant experience from a reputed institution
- Extensive understanding and experience in machine learning, artificial intelligence, computer vision, and related fields, with demonstrated expertise in image processing, object detection, segmentation, and deep learning architectures (e.g., CNNs, Vision Transformers)
- Proven track record of applying multiple advanced AIML and computer vision concepts to practical applications, including industrial visual inspection, image classification, and real-time object detection
- Proficiency in programming languages and frameworks commonly used in AIML and computer vision applications, such as Python, TensorFlow, PyTorch, OpenCV, and related libraries
- Expertise in data analysis and manipulation using tools like pandas, NumPy, and proficiency in software development best practices, including version control (e.g., Git) and agile methodologies
- Strong leadership capabilities, excellent problem-solving skills, and ability to think critically and creatively
- Excellent communication skills and ability to lead, mentor, and work effectively in a collaborative team environment
- Demonstrated ability to build advanced prototypes and rapidly develop proof-of-concepts to illustrate solution feasibility
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