Senior Manager of Machine Learning, Corporate Services

Vanguard Canada; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

A leading company seeks a Senior Manager of Machine Learning to lead AI/ML solutions for Corporate Services, driving innovation and team excellence. This role requires extensive experience in machine learning, strong leadership, and strategic thinking. The ideal candidate will mentor engineers while managing scalable and secure AI systems in a hybrid working environment.

Qualifications

• 10+ years in machine learning with 5 years managing engineering teams.
• Deep expertise in AI/ML frameworks and tools.
• Proficiency in programming languages: Python, Java, or C++.

Responsibilities

• Lead AI/ML engineering strategy and team.
• Supervise design, development, and deployment of AI/ML systems.
• Drive innovation and optimize AI/ML workflows.

Skills

AI/ML frameworks

Strategic thinking

Problem-solving

Team leadership

Data engineering principles

CI/CD practices

Education

Master’s or PhD in Computer Science

Relevant certifications in AI/ML or cloud technologies

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

AWS (Sagemaker)

Apache Spark

AWS Glue

Hadoop

AWS Cloud Formation

Job description

Senior Manager of Machine Learning, Corporate Services

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Senior Manager of Machine Learning, Corporate Services

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Join to apply for the Senior Manager of Machine Learning, Corporate Services role at Vanguard Canada

Lead a team of machine learning engineers responsible for the productionalization and deployment of advanced AI and Machine Learning solutions for Corporate Services divisions, including IT, OGC, GR&S, and Finance. This role is crucial for driving innovation, ensuring the scalability and efficiency of AI/ML projects, and fostering a culture of engineering excellence and collaboration. The Head of AI/ML Engineering will work closely with AI/ML experts, product managers, and business stakeholders to translate AI/ML models into robust, scalable, and secure AI/ML systems.

Core Responsibilities:

• Formulate and implement the AI/ML engineering strategy, ensuring it aligns with the corporate services' overall business goals and technological vision.
• Build, lead, and mentor a high-performing team of AI/ML engineers, fostering a collaborative and innovative environment.
• Supervise the design, development, and deployment of AI/ML models and systems, ensuring they meet performance, scalability, and security standards.
• Maintain a deep understanding of the latest AI/ML technologies and best practices and guide the team in their adoption and integration.
• Design and implement robust infrastructure to support AI/ML workflows, including data pipelines, model training, and deployment environments.
• Continuously optimize AI/ML models and systems for performance, efficiency, and cost-effectiveness.
• Drive innovation by exploring new AI/ML techniques and technologies and integrating them into the organization's processes and products.
• Demonstrate thought leadership in the engineering space, with the ability to orchestration workstreams with cross-functional teams and stakeholders.
  
  
  

Qualifications:

• Master’s or PhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or related field.
• 10+ years of experience in the machine learning space, with a minimum of 5 years directly managing engineering functions.
• Proven ability to lead and develop high-performing ML teams, fostering a culture of innovation and continuous improvement.
• Strong strategic thinking and problem-solving skills, focused on delivering business-impactful solutions.
• Deep expertise in AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras. Proficiency in programming languages like Python, Java, or C++.
• Proficiency in using AWS machine learning services, such as Sagemaker, for model pipeline development, training, and deployment. Proven ability to develop and deploy machine learning models with robust data architectures.
• Experience with CI/CD practices for both machine learning and data engineering workflows.
• Knowledge of data engineering principles and tools. Experience with data processing technologies, such as Apache Spark, AWS Glue, and Hadoop.
• Proficiency in AWS Cloud Formation for infrastructure. Relevant certifications in AI/ML or cloud technologies.
  
  
  

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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