6 TVS Motor Jobs

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.

Job Title / Role: Principal Data Scientist - Computer Vision

Department:

Digital and AI is a key enabler function at TVS Motor which is leading digital transformation infused with AI across TVS Motor and group companies globally. We are creating and enhancing digital native experiences for our customers, partners and colleagues leveraging the best of Data science methodologies and AI/ML algorithms to add value in the manufacturing and supply chain domain in terms of quality, efficiency and safety which differentiate and personalize user experience thereby earning the right to be in their daily life and creating a competitive differentiation in the market. Machine learning, Deep learning, Computer Vision, Predictive and Prescriptive ML modelling, LLM,NLP, NLG, algorithm, responsible AI and several others are not buzzwords but business archetypes we work with every day! Do you want to engage and lead digital and AI transformation in global mobility? Look us up!

Purpose of the role

• Role 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.

Managing points (Key KPI/KRAs) :

- Develop and deploy DS/AI/ML solutions for Manufacturing and Supply Chain for Cost Saving, Quality Improvement, Manufacturing efficiency and safety.

- Timely Completion of Projects

- Explore New technologies in DS/AI/ML

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Functional competency:

- Machine Learning Model Development

- Machine Learning Model Deployment.

- Python Coding

- Deep Learning

- Documentation

- Process adherence

Behavioral competency:

- Strong Communication in Respective with ML model

- Ability to converse between functional and nonfunctional

- Cross-functional