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: Digital Product Owner II
Location : Bangalore
Education Qualification : 'BE/ME in Any Engineering, or a related field (or equivalent experience) with a strong focus on computer vision.
Mtech
Experience : 'Post graduate/graduate in Math, Computer Science, Statistics or related field with a minimum of 4 years of relevant experience or Masters in Math, Computer Science, Statistics or related field.
Experience -
Over 7+ years of Applied Machine learning experience in the field of computer vision with experience in image segmentation, object detection, re-identification, semantic and instance segmentation, key point detection and object tracking algorithms.
Job Purpose :
To design and build scalable AI/ML-driven data science products that enhance customer lifetime value, optimize retail partner profitability, boost contact center productivity, and improve customer satisfaction, while collaborating closely with cross-functional business and product teams across Marketing, Sales, Retail Finance, Digital Assets, and Merchandise lines to drive data-informed decision-making and high retail sales performance.
Role Description
' - Lead and participate in end-to-end ML projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions
- Need to deliver solutions to production through the software development lifecycle
- You will have to push the state of the art in terms of the application of computer vision techniques to solve complex business problems including but not limited to retail channel effectiveness (brick & mortar retail), customer experience measurement (gesture & facial recognition, vehicle number plate recognition etc based techniques), Content Based Image Retrieval, Video Processing (object detection & tracking, Surveillance), Augmented Reality (video chat-bot) based consumer behaviour research & insights generation
- Provide leadership to establish world-class ML lifecycle management processes.
- Write production ready code and deploy real time ML models; expose ML outputs through APIs.
- Hypothesis Testing and Design of experiments to analyse and monitor results.
- Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation.
- Holding routine peer code review of ML work done by the team.
Key Skills
' ' - Customer-first mindset with strong user empathy and design thinking approach
- Solid understanding of HR technology, digital applications, and AI concepts
- Expertise in building and managing digital and AI-driven products
- Strong analytical, problem-solving, and data-driven decision-making skills
- Experienced in product management principles and metrics-driven delivery
- Basic technical understanding of engineering and AI fundamentals
- Experimental and agile mindset, open to learning and iterative improvement
- Effective collaboration with business stakeholders and engineering teams
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Source: TVS Motor Company careers — Read the original posting and apply
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