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TVS Motor Company, a renowned two- and three-wheeler manufacturer, seeks a Computer Vision Engineer in Bengaluru to develop and optimize vision solutions for automotive applications. You will work on object detection, tracking, segmentation, recognition, and pose estimation to enhance product intelligence and automation.
Key responsibilities include training models with TensorFlow and PyTorch, deploying on embedded and cloud platforms, and collaborating in an AGILE environment with JIRA and
TVS Motor Company is a reputed two andthree-wheeler manufacturer globally, championing progress through SustainableMobility with four state-of-the-art manufacturing facilities in Hosur, Mysuruand Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacyof Trust, Value, and Passion for Customers and Exactness, we take pride inmaking internationally aspirational products of the highest quality throughinnovative and sustainable processes. We are the only two-wheeler company tohave received the prestigious Deming Prize. Our products lead in theirrespective categories in the J.D. Power IQS and APEAL surveys. We have beenranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Surveyfor consecutive four years. Our group company Norton Motorcycles, based in theUnited Kingdom, is one of the most emotive motorcycle brands in the world. Oursubsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG)and EGO Movement have a leading position in the e-bike market in Switzerland.TVS Motor Company endeavours to deliver the most superior customer experienceacross 80 countries in which we operate.
'BE/ME in AnyEngineering, or a related field (or equivalent experience) with a strong focuson computer vision.
Mtech
2-4 years of experience in developing and implementingcomputer vision algorithms
To develop, implement, and optimize advanced computer visionsolutions that enhance product intelligence, automation, and user experienceacross TVS Motor’s engineering, manufacturing, and operational domains. Therole aims to leverage state-of-the-art machine learning and deep learningtechniques to solve real-world problems, enabling the company’s vision of smartmobility and intelligent systems.