Machine Learning Engineer

Job Title - ML Engineer

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