Machine Learning Engineer, Specialist

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Candidates should possess an undergraduate degree or equivalent experience, and a graduate degree is preferred. They must have at least 5 years of relevant work experience, with a minimum of 3 years of hands-on experience designing ETL pipelines using AWS services such as Glue and SageMaker. Proficiency in Python (including PySpark and PySQL) and familiarity with machine learning libraries and frameworks are required, alongside a strong understanding of cloud technologies like AWS and Azure, and experience with NoSQL databases. Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation is also necessary. Experience with API design and development is a plus, as well as knowledge of Machine Learning Development Lifecycle (MDLC) best practices and solution architecture for building end-to-end machine learning data pipelines.

Responsibilities

The Senior Machine Learning Engineer will be responsible for developing and optimizing complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability. They will integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions. The role involves employing experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling, collaborating with data science teams to review model-ready datasets and feature documentation, performing data discovery and analysis, and engaging with internal stakeholders to understand business processes. Additionally, the engineer will write and maintain model monitoring scripts, serve as a domain expert in machine learning engineering, stay updated with advancements in AI/ML, and participate in special projects and additional duties as assigned.

Skills

Machine Learning

Data Pipelines

ETL

Deep Learning

Large Language Models (LLMs)

AI/ML

Predictive Modeling

Data Analysis

Cloud AI Services

Model Monitoring

Data Lineage

Statistics

Vanguard

Client-owned investment management firm offering low-cost funds

About Vanguard

Vanguard provides financial services with a focus on investment management. The company offers a variety of products, including mutual funds, exchange-traded funds (ETFs), individual retirement accounts (IRAs), and 401k rollovers, aimed at individual investors, financial advisors, and institutions. Vanguard's unique ownership structure means it is owned by its funds, which are in turn owned by the clients, allowing it to prioritize the needs of its investors over external shareholders. This model enables Vanguard to offer low-cost investment options, as it primarily earns revenue through management fees that are generally lower than industry standards. Additionally, Vanguard provides personalized investment advisory services, charging fees based on the assets managed. The company's goal is to help clients grow their wealth and achieve their financial objectives through effective investment strategies, while maintaining a competitive performance track record.

Kline Township, PennsylvaniaHeadquarters

1975Year Founded

SECONDARYCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees