Machine Learning Engineer - Generative AI

Company: Policybazaar

Job Title: Machine Learning Engineer

We're looking to hire someone to help scale Machine Learning and Artificial Intelligence efforts at Policybazaar. You'll work with the team that develops the models that shall power Policybazaar'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 Policybazaar.

This is a role for highly technical machine learning and 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) and 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

Skills

Machine Learning, Data Science, Python, NLP, Generative AI, Speech Recognition, Tensorflow, PyTorch, Cloud, Big Data, SQL