Machine Learning Engineer

Job Title - ML Engineer

• Were looking to hire someone to help scale Machine Learning and Artificial Intelligence efforts at
• Paisabazaar. Youll work with the team that develops the models that shall power Paisabazaars
• 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 youve 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