Brief Description of position:
Who are we.
At TVS Motors, we like to help people meet their mobility needs with our products and services. We offer our products (sports bikes, scooters, utility mopeds, Vehicle accessories, Merchandise, mobile Apps to track vehicle performance and value-added services etc.) to users across India as well as 60+ countries in Asia, Africa and Latin America, with the help our more than 5000 authorised retail outlets in India and more than 1000 in international markets.
At TVS Data Science & Engineering Group, we are a community of Data Scientists, Machine Learning Researchers and Data Engineers, working to drive TVS Motors research in machine learning & deep learning solutions. We partner with our retail partners end customers, business teams and digital application development teams to build data products in different areas of the customer and retail value chain.
We are looking to welcome an experienced data scientist who can build Data science products at scale for driving world-class marketing science and drive high sales at our retail outlets. This role includes designing and building AI/ML products at scale to improve customer life-time value, retail partners profitability, contact centre productivity and customer satisfaction. This role will collaborate with product owners and busines owners from departments like Marketing and Sales, Retail Finance Partners, Retail Partners, Digital Assets, Merchandise and Accessories business lines.
To understand customer journey touchpoints of a Two-wheeler user and planned AI/ML interventions, please refer to the diagram below.
Your responsibilities
- 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 based techniques), 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
Your qualifications
- For Lead Data Scientist: Over 6 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
- 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.
- Applied experience with Machine Learning and Deep Learning on Large Datasets.
- Strong hands on experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
- Familiarity with image and computer vision-related libraries such as Tesseract, OpenCV, PIL, Dlib
- Hands on experience in model building, validation, and productionizing.
- Expert Python Programmer, strong hold on SQL, extremely proficient with the SciPy stack (e.g. numpy, pandas, sci-kit learn, matplotlib);
- Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow)
- A demonstrated ability to mentor junior data scientists and proven experience in collaborative work environments with external customers
- Proficient in communicating technical findings to non-technical stakeholders
- Have 2+ years leading and / or collaborating with small to midsized teams
- Experienced in ML lifecycle mgmt. and ML Ops tools & frameworks
We are committed to an inclusive and diverse company. TVS Motors is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.
