About TVS / Who are we?
TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries 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 experience across 80 countries in which we operate.
For more information, please visit www.tvsmotor.com.
Designation: Data Scientist I
Office Location: Bangalore
Position description:
• Design, develop, and implement robust computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and pose estimation.
• Conduct research and stay up-to-date on the latest advancements in computer vision techniques, including deep learning architectures (CNNs, RNNs, etc.).
• Develop and train deep learning models for various computer vision tasks using frameworks like TensorFlow, PyTorch, or similar.
• Preprocess and prepare large datasets for training and evaluation of computer vision models.
• Integrate developed algorithms into existing software systems and ensure efficient performance.
• Experience with hardware platforms like GPUs or TPUs for efficient model training and inference
• Experience with deploying computer vision models on embedded systems or cloud platforms.
• Experience with cloud computing platforms (e.g., AWS, GCP) for deploying and scaling vision models.
• Evaluate and optimize the performance of computer vision models, addressing issues like accuracy, speed, and resource efficiency.
• Collaborate with cross-functional teams (engineering, research, product) to understand requirements, define solutions, and deliver impactful results.
• Document developed algorithms and solutions effectively for internal knowledge sharing and future reference.
• May contribute to writing proposals, research papers, and presentations related to computer vision projects.
• Prepare technical documentation and presentations to clearly communicate technical concepts and findings.
• Experience in Video and Image Labelling/Annotations
• Experience in AGILE Environment with good exposure to JIRA and GitHub.
Primary Responsibilities:
• BE/ME in Any Engineering, or a related field (or equivalent experience) with a strong focus on computer vision.
• 2-4 years of experience in developing and implementing computer vision algorithms.
• Proven expertise in deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).
• In-depth expertise in deep learning architectures and frameworks (TensorFlow, PyTorch, Caffe2 etc.).
• Solid experience with image processing techniques, machine learning algorithms, and optimization methods.
• Experience with relevant programming languages (Python, C++, etc.) and libraries (OpenCV, scikit-learn, etc.).
• Excellent problem-solving skills, analytical thinking, and a strong understanding of mathematical concepts.
• Proven ability to work independently and manage multiple projects effectively.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Additional Responsibilities:
• Experience with specific computer vision applications relevant to our company's domain.
• Strong publication record in top computer vision conferences and journals.
Source: TVS Motor Company careers — Read the original posting and apply
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