Senior Machine Learning Engineer

As part of the DS team at Razorpay, you'll work with some of the smartest engineers/architects/data scientists/product leaders in the industry and have the opportunity to solve complex and critical problems for Razorpay. As a Senior MLE, you will also have the opportunity to partner with and be mentored by senior engineers across the organization and lay the foundation for a world-class DS team here at Razorpay.

You come and work with the right attitude, fun and growth guaranteed

Roles & Responsibilities:

• 3-5 years of experience doing ML in a production environment and productionising ML models at scale
• Bachelors (required) or Masters in a quantitative field such as Computer science, operations research, statistics, mathematics, physics
• Familiarity with basic machine learning techniques : regression, classification, clustering, model metrics and performance (AUC, ROC, precision, recall and their various flavors)
• Basic knowledge of advanced machine learning techniques : regression, clustering, recommender systems, ranking systems and neural networks
• Expertise in coding in python and good knowledge of at least one language from C, C++, Java and at least one scripting language (perl, shell commands)
• Experience with big data tools like Spark and experience working with Databricks / DataRobots
• Experience with AWS suite of tools for production-quality ML work, or alternatively familiarity with Microsoft Azure / GCP
• Experience deploying complex ML algorithms to production in collaboration with engineers using Flask, MLFlow, Seldon, etc

Good to have:

• Excellent communication skills and ability to keep stakeholders informed of progress / blockers