ML Application Engineer

Summary

Join Plusgrade as an ML Engineer and contribute to the development and deployment of innovative machine learning platform solutions. You will be part of a team passionate about enabling ML applications, designing scalable ML pipelines, and productionizing cutting-edge solutions. This role requires strong software development skills, expertise in ML Ops, and experience with the machine learning algorithm lifecycle. You will collaborate with various teams to build data and ML solutions, ensuring adherence to best practices. Plusgrade offers a comprehensive benefits package including RRSP/401(k) matching, health plans, flexible paid time off, and various other perks.

Requirements

• Proven work experience with ML pipelines and ML-based Python application development
• Strong knowledge of general software engineering principles and practices
• Experience designing and developing back-end components to improve responsiveness and overall performance
• Working knowledge of ML Ops principles and CI/CD
• Experience managing the machine learning algorithm lifecycle
• Expertise with RESTful APIs
• Knowledge of data science principles
• Strong optimization and debugging skills
• Self-disciplined, motivated, eager to help, and most importantly, a thirst for continual learning
• Effective communicator and collaborator, both within the immediate team and across other organizational units
• Team spirit and a problem-solver mindset

Responsibilities

• Work in a small team passionate about enabling ML applications throughout the organization
• Design and develop scalable and robust ML pipelines for predictive data to be consumed by downstream applications to improve the main KPIs, such as member engagement, revenue, and others
• Productionize, scale, and productize cutting-edge machine learning solutions
• Design and develop robust processes to monitor production ML pipelines
• Support production systems to deliver batch and streaming real-time model predictions to all applications
• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architectural principles
• Work closely with our Product, Engineering, and Marketing teams to build the data and ML solutions to address business-critical questions
• Deploy models and evaluate their performance; constantly test and improve
• Responsible for model retraining, drift monitoring, pipeline automation, quality control, and governance of production models
• Work closely with the OPS team to provide the necessary production support

Preferred Qualifications

• Knowledge of ML-based application design principles
• Experience with containers and related infrastructures, such as Docker and Kubernetes
• Experience with native AWS tools
• Experience with web application development and UI/UX optimization
• Experience with the design, implementation, and deployment of machine learning algorithms
• Experience with relational databases and in-memory storage

Benefits

• RRSP/401(k) Matching/Pension Matching
• Comprehensive Health Plans
• Flexible Paid Time Off
• Travel Experience Credit
• Annual Wellness Credit
• Team Events and Monthly Lunches
• Home Office/Commuter Credit
• Work From Anywhere Program
• Parental Leave Top Up
• Adventure Pass