Senior Ml Engineer

Razorpay was founded by and in 2014 Razorpay is building a new-age digital banking hub Neobank for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India We are a full-stack financial services organisation committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business Over the past year we ve disbursed loans worth millions of dollars in loans to thousands of businesses In parallel Razorpay is reimagining how businesses manage money by simplifying business banking via and enabling capital availability for businesses via The Role We are looking for an enthusiastic Machine Learning Engineer to join our growing team The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay Some possible problems include making recommendations to merchants from Razorpay s suite of products cost optimisation of transactions for merchants automatic address disambiguation correction to enable tracking customer purchases using advanced natural language processing techniques computer vision techniques for auto-verifications running large-scale bandit experiments to optimize Razorpay s merchant facing web pages at scale and many more In addition to this we expect the MLE to be adept at productionising ML models using state-of-the-art systems As part of the DS team 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 Razorpay believes in and follows an equal employment opportunity policy that doesn t discriminate on gender religion sexual orientation colour nationality age etc We welcome interests and applications from all groups and communities across the globe Follow us on