Backend Developer, Machine Learning
Plusgrade
- Toronto, Ontario, Canada
- Toronto, Ontario, Canada
Über
ABOUT THE ROLE:
As the ML Engineer for the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to solve challenging business problems. This role requires a strong foundation in software development, a passion for cutting-edge technology, excellent problem-solving skills, and the ability to work independently and collaboratively within a fast-paced environment.
This role reports to the Director, ML Applications.
WHAT YOU WILL BE DOING:
Work in a small team passionate about enabling ML applications throughout the organization
Productionize, scale, and productize cutting-edge machine learning solutions
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
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
YOU ARE SOMEONE WITH:
4+ years work experience with ML pipelines and ML-based Python development
Strong knowledge of general software engineering principles and practices
Expertise with RESTful APIs
Experienced building ML- and LLM-based recommendation systems
Experience designing and developing back-end components for low-latency and highly-scalable solutions
Working knowledge of ML Ops principles and CI/CD
Experience managing the machine learning algorithm lifecycle
Knowledge of ML-based application design principles
Experience with containers and related infrastructures, such as Docker and Kubernetes
Familiarity with native AWS tools
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
NICE TO HAVES:
Knowledge of data science principles
Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases
AWS Architect certification
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
OUR TECH STACK:
Languages: Python, SQL, Spark, PySpark
Tools: Snowflake, SnowPark, Splunk
AWS Services: EKS, SageMaker, Bedrock, DynamoDB, Kinesis, RedShift, Lambda and others
Containerization: Kubernetes, Docker
Version Control: GitLab
Data & Analytics: Dataiku, Tableau
WHAT YOU'LL LOVE ABOUT US:
RRSP Matching
Comprehensive Health Plans
Flexible Paid Time Off
Travel Experience Perk
Annual Wellness Perk
Commuter Perk
Tenure-based Work From Anywhere Program
Parental Leave Top Up
Adventure Pass
Learning Allowance
OUR PROCESS:
Plusgrade is an equal-opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunities regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request we will provide accommodation for applicants with disabilities. If you have a preference regarding the language of your interviews, please inform our Talent Team when they reach out to you.
We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. We may utilize technology-assisted/ artificial intelligence tools to help us screen, assess, and select applicants for this position. This job posting is for an existing vacancy.
All applications will be reviewed from our Talent Team and the successful candidate(s) will go through the following recruitment process:
Recruiter Phone Interview
Hiring Manager Interview
Test or case study or take-home assessment (if applicable)
Team Interview
All candidates will be provided with feedback regardless if they pass or didn't pass any of our interview stages. All your information will be kept confidential.
The base salary range is tailored to the advertised location and determined by several factors, including candidate expertise and internal peer equity. Final placement is based on a candidate's specific skill set and experience relative to the role's requirements.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Sprachkenntnisse
- English
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