Senior Manager of Machine Learning Corporate Services

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 highperforming 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 costeffectiveness.

• Drive innovation by exploring new AI/ML techniques and technologies and integrating them into the organizations processes and products.

• Demonstrate thought leadership in the engineering space with the ability to orchestration workstreams with crossfunctional teams and stakeholders.

Qualifications:

• Masters 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 highperforming ML teams fostering a culture of innovation and continuous improvement.

• Strong strategic thinking and problemsolving skills focused on delivering businessimpactful solutions.

• Deep expertise in AI/ML frameworks and tools such as TensorFlow PyTorch Scikitlearn 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

About Vanguard

At Vanguard we dont just have a missionwere on a mission.

To work for the longterm 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 inperson learning collaboration and connection. We believe our missiondriven and highly collaborative culture is a critical enabler to support longterm client outcomes and enrich the employee experience.