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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.