AI/ML Lead

About Paisabazaar.com We are a part of PB Fintech Group, which operates Policybazaar (India's largest online platform for Insurance products*) & Paisabazaar (India's largest consumer credit marketplace*) Paisabazaar is a 7+ yr old brand, which rose to market leadership in a crowded market, through focus on doing what's right for consumers, with a strong bent for execution. With 50+ partnerships across large banks, large NBFCs and fintech lenders , Paisabazaar offers a wide choice of lending products for consumers on its platform. While being the market leader, Paisabazaar has also defined the vision for the lending industry by its Industry-first innovations like CoA (Industry first borrower-lender matching algo) and Free Credit Score (offering Consumers lifetime checking and tracking of their credit scores for free) and many more.. with an aim to solve core consumer problems via deep understanding of customer behavior, backed by cutting edge Tech, Product and Analytics capabilities . As a testimony to the role played by Paisabazaar in the industry, we have been well recognized at several industry platforms with awards like 'Most Innovative Lending Startup’ by India Fintech Forum and ‘Most Promising Brand’ by Economic Times , ‘Excellence in Consumer Lending’ at IAMAI’s India Digital Awards and globally as well with a ‘Outstanding Crisis Finance Innovation 2021 (Asia Pacific) Award’ by Global Finance Magazine and many more. Watch Paisabazaar's growth story, as covered on Discovery Channel - https://www.youtube.com/watch?v\=AhbWfcKIMjs\&t\=134s Also, watch Paisabazaar brand films - https://www.youtube.com/watch?v\=\_P8Ym5Tt4VM https://www.youtube.com/watch?v\=y5mATa99XkE * as per Frost & Sullivan

Job Responsibilities We’re looking to hire someone to help scale Machine Learning and Artificial Intelligence efforts at Paisabazaar. You’ll work with the team that develops the models that shall power Paisabazaar’s products focused on Speech, NLP and generative AI. Some of the problems include Automated Speech Recognition(ASR) of Hinglish customer-agent audio conversations and generating critical insights for business, building gen AI chatbots on top of the rich knowledge bases of Paisabazaar. This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals. You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company. Required Skills and qualification

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 3+ years of experience
• Knowledge of deep learning, specializing in any of the following: Speech, NLP and generative AI
• Hands-on experience in TensorFlow/PyTorch, Python, cloud (AWS/Azure/GCP) & Big Data platforms to manipulate large-scale structured and unstructured datasets.
• Experience with GPU computing is a plus.
• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through mentoring junior/mid-level data scientists.
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Skills:- Data Science, Python, Azure/GCP/AWS, Apache Spark, Machine Learning (ML), NLP, Speech Recognition and Generative AI