Senior Machine Learning Engineer

Who are we? We are a highly skilled team of innovators. We use big data, artificial intelligence, and machine learning to create the next generation of financial products and services for global markets. What is Pi? Pi is the sole fraud and risk management platform that organizes data from the entire customer journey, fighting fraud more effectively with customizable risk models in a single, user-friendly platform. Company Overview: We are a leading provider of cutting-edge software solutions, focusing on fraud risk management. Our pioneering SaaS platform aids businesses in reducing fraud risks, protecting sensitive data, and maintaining trust with their clients. Position Summary: If you are excited about working with billions of events, petabytes of data, and optimizing until the last millisecond, then read on! We are on the lookout for Data Engineers who have dealt with their fair share of messy data sets and have successfully structured them for further fraud detection and prevention, anomaly detection, and other AI products. You will be responsible for writing frameworks for real-time and batch pipelines to ingest and transform events from hundreds of applications every day. Both machines and humans will consume these events. Our ML and Software engineers use these events to construct new and optimize existing models to detect and ward off new fraud patterns. You will also contribute to optimizing the feature pipelines for quick execution and collaborate with software engineers to build event-driven microservices. You will have the opportunity to implement cutting-edge tech in production and the freedom to experiment with new frameworks, explore new methods of optimization, and access resources to create the next big thing in fintech using data! What does this include? We are looking for a Machine Learning Engineer, to work on developing large-scale big-data machine learning and solution automation toolkits and libraries. In this role, you will collaborate with a skillful engineering and data science team to establish a top-of-the-line ML framework that will enable hundreds of solutions and users. You will also have the chance to research the latest machine learning techniques in industry and academia and then bring them into the Paytm Labs data scientist community. Responsibilities: - Collaborate closely with data scientists to transform machine learning models from prototypes into production-ready solutions; work with data engineers to create robust data pipelines, ensuring data quality and appropriate feature engineering for model inputs - Develop and deploy monitoring solutions to track model performance, detect anomalies, and maintain model health; implement metrics to monitor and measure model and strategy impact - Implement strategies for retraining models in response to data drift and model performance degradation - Help to establish standards, approaches, and implement required tooling and automation to support the full life cycle for model design and development, which includes, but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance - Contribute to the development of predictive modeling projects using data mining techniques for estimating current and future member engagement, operational performance, or other business outcomes; apply unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies Requirements: - 5+ years’ work experience as a Machine Learning Engineer or similar role. - Excellent understanding of machine learning frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Familiarity with object-oriented design methodology and application development in Python. - Familiarity with big data-related technologies to manage large volumes of complex data (SQL, pyspark). - Ability to think outside of the box. Willing to work hard and have fun. - Ability to work in a team and highly collaborative - Working experience in fraud risk is a plus - Knowledge of Scala language is a plus - BS, MS, or PhD in Computer Science or related technical discipline (or equivalent). Why join us? - For the 5th year in a row, we are proud to announce that we have been certified as a ‘Great Place to Work’ - We offer an open work environment that encourages collaboration, ownership, creativity, and urgency - Flexibility with work schedule - Immediate enrolment in the Group Health Benefits plan, no waiting period - Regular team building events on and off-site - Weekly delivery of groceries, and all types of snacks for fuel throughout the day - Catered lunches and desserts on a monthly basis - Daily fun in the office with our competitive games of Ping Pong, Chess, FIFA, and other games - Unlimited amount of freshly made coffee! We take our coffee beans very seriously “We pooled our knowledge of the space and our world-class engineering talent to produce Pi. It’s everything we wanted in an FRM, saving us hundreds of millions of dollars.” - Harinder Takhar, CEO Go Big or Go Home! Paytm Labs believes in diversity and equal opportunity and will not tolerate any forms of discrimination or harassment. Our people are critical to our success, and we know that the more inclusive we are, the better our work will be. We thank all applicants, but only those selected for an interview will be contacted. Paytm Labs is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please don't hesitate to let us know.