Job Description

Section
D&AI - Domestic 2W & IB - Data Science & BI
Job posted on
Jul 31, 2022
Employee Type
White Collar
Experience range
12 years - 15 years

Group Company: TVS Motor Company Designation: Divisional Manager - Data Science Position description: Building and managing team of data scientists and participation in end-to-end ML projects development and deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions. Provide leadership to establish world-class ML lifecycle management processes. You will have to push the state of the art in terms of the application of NLP, Text Information Retrieval, Recommender Systems, Social Media Analytics, Supply-Chain Optimization, Image Retrieval, Object Detection and Tracking, and Voice AI solutions on call center verbatim, chat bot/robo calling data, social media posts, marketing collaterals/assets to solve complex business problems including but not limited to understating consumer behaviour, marketing asset performance, lead classification, retail channel effectiveness, and recommender systems. Leverage and enhance applications utilizing Deep Learning Neural networks for use cases including text mining, computer vision, speech, & voice to text AI. Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation Need to deploy real time ML models, expose ML outputs through APIs, and deliver solutions to production through the software development lifecycle A demonstrated ability to collaborate with internal and external stakeholders Mentoring team to write research papers, patents, & participate in open source contribution etc. Primary Responsibilities:

• Over 10+ years of Applied Machine learning experience in the fields of machine learning such as Text Information Retrieval, Natural Language Processing (NLP), Recommender Systems, Deep learning, Optimization etc. Good to have experience in the domain of Computer Vision & Voice AI
• Post graduate/graduate in Maths, Computer Science, Statistics, Operation Research or related field with a minimum of 4 years of relevant experience or Masters in Math, Computer Science, Statistics, Operation Research or related field
• Solid understanding of Classification, Clustering, Association, Regression, Forecasting algorithms, Deep Learning (DL) techniques like convolutional neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term memory (LSTM), & Artificial neural networks (ANNs) etc.
• 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)
• Experienced in ML lifecycle management and ML Ops tools & frameworks
• Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow)
• Proficient in communicating technical findings to non-technical stakeholders
• Experienced in publishing research papers/filing patents in the domain of AI
• Good to have experience in using any of existing platforms such as DialogFlow, Rasa etc.

• Category: Master's Degree
• Degree: Bachelor of Engineering-BE/B.TECH