Senior Machine Learning Engineer @ Paytm Labs

Senior Machine Learning Engineer

Posted on 3/15/2023

INACTIVE

Locations

Toronto, ON, Canada

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Analysis

Data Structures & Algorithms

Keras

Pytorch

Scala

SQL

Tensorflow

Python

Requirements

5+ years' work experience as a Machine Learning Engineer or a 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 works and have fun
Ability to work in a team and highly collaborative
Working experience in fraud risk is plus
BS, MS, or Ph.D. in Computer Science or related technical discipline (or equivalent)

Responsibilities

Design, build, evaluate and defend machine learning models to detect various types of fraud, with a focus on protecting our members
Collaborate with business partners to deploy models and create and deploy strategies utilizing model results
Develop and implement metrics to monitor and measure model and strategy impact
Perform full cycle model design and development which includes, but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance
Lead development of predictive modeling projects using data mining techniques for estimating current and future member engagement, operational performance, or other business outcomes
Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies

Desired Qualifications

Knowledge of Scala language is a plus

About Paytm Labs:

At Paytm Labs, we’re on a mission to provide useful technological solutions that enrich and empower millions of people in their daily lives. We apply big data, artificial intelligence, and machine learning to bring the next generation of financial products and services to global markets.

We recently soft-launched Pi, our full end-to-end fraud management system that is able to make real-time decisions. It works as a dynamic rule engine to make day-to-day analyses and procedures. Check out more about Pi here: pi.paytm.com.

Job Description:

We are looking for a 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 into Paytm Labs data scientist community.

Responsibilities:

Design, build, evaluate and defend machine learning models to detect various types of fraud, with a focus on protecting our members
Collaborate with business partners to deploy models and create and deploy strategies utilizing model results
Develop and implement metrics to monitor and measure model and strategy impact
Perform full cycle model design and development which includes, but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance
Lead development of predictive modeling projects using data mining techniques for estimating current and future member engagement, operational performance, or other business outcomes
Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies

Qualifications:

5+ years’ work experience as a Machine Learning Engineer or a 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 works and have fun
Ability to work in a team and highly collaborative
Working experience in fraud risk is plus
Knowledge of Scala language is a plus
BS, MS, or Ph.D. in Computer Science or related technical discipline (or equivalent)

Why join Pi!

Flexibility to WFH
For the fourth 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
We ensure flexible hours outside of our core working hours
Enrolment in the Group Health Benefits plan right from day 1, no waiting period
Team building events
Online learning through the platform, UDEMY
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, Pool, multiple board games, and video games

Notice for Job Applicants

We are an equal opportunity employer and value diversity and uniqueness at our company. 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.

5,001-10,000 employees

Website

Financial services

Company Overview

Paytm Labs began as a research and development division of Paytm. They pride themselves in building products and services that enrich and empower people's lives daily. They believe that culture is a product of everyday behaviours that are celebrated and amplified.

Benefits

Health & Wellbeing - Your group health benefits are 100% funded by us, and start on your first day.
Travel the World - Even though we are currently working remotely, usually our employees make frequent international business-related trips while working on exciting projects.
Continuous Learning - We're passionate about learning and strive to constantly improve and innovate. We learn from others, our challenges & our successes.
Connection - In this virtual world, we stay connected through events like game nights, movie nights, arts & crafts sessions (like Origami), meditation sessions, and much more.
Autonomy & Flexibility - You get to define how you want to make an impact. We truly believe that great things happen when people are given the trust and freedom to create their own path.
Beautiful Office - Whenever we return back to the office, you’ll get to check out our awesome workspace, complete with pool and ping pong tables, a snack-filled kitchen, and tons of cozy work spaces.

Company Core Values

Intent Overrides Ability
The Power of Asking, ‘Why?’
We Before Me
Ownership
Do Great Things, Fast