We are a highly skilled team of innovators. We apply big data, artificial intelligence, and machine learning to bring the next generation of financial products and services to global markets.
What is Pi
The only fraud and risk management platform that orchestrates data from the entire customer journey, fighting fraud more effectively with configurable risk models in a single, easy-to-use platform.
We are a leading provider of cutting-edge software solutions, specializing in fraud risk management. Our innovative SaaS platform helps businesses mitigate fraud risks, protect sensitive data, and maintain trust with their customers.
We are looking for a Senior Machine Learning Engineer, to work on developing large-scale big-data machine learning & solution automation toolkits and libraries. In this role, you will work with a talented engineering and data science team to develop a state-of-the-art ML framework that will enable hundreds of solutions and users, while also having the opportunity to research the latest machine learning techniques in industry and academia and then bring them into the Paytm Labs data scientist community.
What does this include
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
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.
Familiar with object-oriented design methodology and application development in Python.
Familiar with big data-related technologies to manage large volumes of complex data (SQL, pyspark).
Think outside of the box. Willing to have both hard work 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 are an open work environment that fosters collaboration, ownership, creativity, and urgency
Flexibility with work schedule
Enrolment in the Group Health Benefits plan from day 1, no waiting period
Team building events on and off-site
Fuel for the day: weekly delivery of groceries, and all types of snacks
Catered lunches and desserts on a monthly basis
Daily fun in the office with our competitive games of Ping Pong, Chess, FIFA, and more games, etc.
And of course, an unlimited amount of freshly made coffee! We're pretty serious about our coffee beans
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!
We thank all applicants, however, 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 let us know.