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:
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Formulate and implement the AI/ML engineering strategy, ensuring it aligns with the corporate services' overall business goals and technological vision.
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Build, lead, and mentor a high-performing team of AI/ML engineers, fostering a collaborative and innovative environment.
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Supervise the design, development, and deployment of AI/ML models and systems, ensuring they meet performance, scalability, and security standards.
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Maintain a deep understanding of the latest AI/ML technologies and best practices and guide the team in their adoption and integration.
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Design and implement robust infrastructure to support AI/ML workflows, including data pipelines, model training, and deployment environments.
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Continuously optimize AI/ML models and systems for performance, efficiency, and cost-effectiveness.
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Drive innovation by exploring new AI/ML techniques and technologies and integrating them into the organization's processes and products.
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Demonstrate thought leadership in the engineering space, with the ability to orchestration workstreams with cross-functional teams and stakeholders.
Qualifications:
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Master’s or PhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or related field.
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10+ years of experience in the machine learning space, with a minimum of 5 years directly managing engineering functions.
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Proven ability to lead and develop high-performing ML teams, fostering a culture of innovation and continuous improvement.
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Strong strategic thinking and problem-solving skills, focused on delivering business-impactful solutions.
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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++.
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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.
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Experience with CI/CD practices for both machine learning and data engineering workflows.
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Knowledge of data engineering principles and tools. Experience with data processing technologies, such as Apache Spark, AWS Glue, and Hadoop.
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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.
Our commitment to diversity, equity, and inclusion
Vanguard’s commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission. We aspire to create a work environment that is inclusive, equitable, and diverse—one that enables our employees, whom we call crew, to thrive and bring their best selves to work every day on behalf of our clients.
Cultivating DEI lifts our entire organization, and everyone shares accountability for our progress—from our senior leaders who lay the foundation and set the example for inclusive behaviors to crew who are growing in their personal DEI learning experiences.
Together, we’re on a mission. We are fueled by the value of diverse voices and connected through friendships and a culture of care—for our clients, our communities, and each other.
Vanguard’s DEI journey has no finish line. Our commitment is enduring, and we remain focused on the path ahead. To learn more about Vanguard goals and progress toward DEI, download our Diversity, Equity, and Inclusion Report.
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.
