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AI/ML Engineer

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Vanguard

2mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Toronto
  • Quick Apply

AI generated summary

  • You need a degree in a relevant field, proficiency in Python and ML frameworks, cloud deployment experience, containerization and orchestration knowledge, MLOps expertise, and strong problem-solving skills.
  • You will design robust ML pipelines, optimize models for performance, collaborate with data teams, maintain automated workflows, and ensure responsible AI adherence in deployments.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science or AI related fields
  • Proficiency in Python and frameworks such as Tensorflow, PyTorch, or Scikit-learn.
  • Experience deploying ML models in cloud environments like AWS, GCP or Azure
  • Familiarity with containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes)
  • Expertise in MLOps tools and practices, including CI/CD pipelines, model versioning, and monitoring
  • Strong understanding of distributed systems and scaling machine learning workflows
  • Solid knowledge of machine learning algorithms, model training, and evaluation techniques
  • Experience working with NLP, computer vision, or generative AI models is a plus
  • Ability to work in cross-functional teams and communicate effectively with data scientists, engineers, and business stakeholders.
  • Strong debugging and problem-solving skills to address technical challenges in deployment environments.

Responsibilities

  • Design and implement robust pipelines to deploy machine learning models into production environments.
  • Build and optimize scalable infrastructure for machine learning workflows, including data preprocessing, model training and inference.
  • Optimize models for latency, accuracy, and efficiency in real-world scenarios.
  • Work closely with data scientists to transition research models into production grade solutions.
  • Develop and maintain automated workflows for version control, model monitoring, and retraining.
  • Collaborate with data engineering teams to ensure efficient data pipelines and availability of high-quality datasets.
  • Build tools to streamline machine learning development and deployment processes.
  • Ensure deployed solutions adhere to responsible AI principles, focusing on safety.

FAQs

What is the role of an AI/ML Engineer at Vanguard?

The AI/ML Engineer at Vanguard is responsible for developing scalable, production-ready AI/ML solutions, working closely with research scientists, software engineers, and business stakeholders to transition machine learning models from research to production.

What technologies and frameworks should I be proficient in for this role?

Candidates should be proficient in Python and familiar with frameworks such as TensorFlow, PyTorch, or Scikit-learn, as well as experience deploying models in cloud environments like AWS, GCP, or Azure.

Is experience with containerization and orchestration important for this position?

Yes, familiarity with containerization tools like Docker and orchestration frameworks such as Kubernetes is important for this position.

What kind of machine learning models will I be working with?

You will be working with various machine learning models, including those related to large-scale language models, generative AI, and potentially computer vision or NLP applications.

What are the core responsibilities of an AI/ML Engineer at Vanguard?

Core responsibilities include designing and implementing robust pipelines for deploying machine learning models, building scalable infrastructure for workflows, optimizing models for performance, collaborating with data engineers, and ensuring adherence to responsible AI principles.

What qualifications do I need to apply for this position?

A Bachelor’s or Master’s degree in Computer Science, Data Science, or AI-related fields is required, along with expertise in machine learning algorithms, experience with automated workflows, and strong problem-solving skills.

Will I be working alone or in a team?

You will be working in cross-functional teams and collaborating effectively with data scientists, engineers, and business stakeholders.

Is there a focus on responsible AI in this role?

Yes, there is a strong emphasis on ensuring that deployed solutions adhere to responsible AI principles, with a focus on safety and ethical considerations.

What is the work culture like at Vanguard?

Vanguard promotes a mission-driven and highly collaborative culture, supporting long-term client outcomes while enriching the employee experience through a hybrid working model.

Do we support continuing education and skill development for employees?

Vanguard values employee development and often provides opportunities for continuing education and skills enhancement through training and collaborative learning.

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Vanguard

Finance
Industry
10,001+
Employees
1975
Founded Year

Mission & Purpose

We are a community of 50 million who think—and feel—differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping investors achieve their goals has been our main reason for existence. At Vanguard, we’re built differently. Vanguard is investor-owned, meaning the fund shareholders own the funds, which in turn own Vanguard. When you’re surrounded by people who care about the same things, things tend to fall into place. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—including keeping investing costs as low as possible—with your needs in mind. Because of our unique structure, your goals align with our goals. Whether you’re investing for your first house, college for your kids, or a comfortable retirement, you can be confident we’re on your side. That’s the value of ownership!