Senior AI/ML Engineer

Vanguard’s Corporate Services department is seeking a Senior AI/ML Engineer to design and deliver scalable machine learning infrastructure and pipelines that enable experimentation, deployment, and monitoring of AI/ML models across the enterprise. This role is ideal for someone with deep technical expertise in building production-grade ML systems and a passion for driving innovation through data and automation. Responsibilities • Architect and implement scalable, efficient, and reliabledata and ML pipelinesusing best practices in machine learning engineering. • Build and maintainMLOps frameworksto support model deployment, monitoring, and lifecycle management in production environments. • Ensuredata integrity, proactively identifying and resolving quality issues across data and model pipelines. • Collaborate withdata scientists, solution architects, product managers, and Agile leadsto align on technical direction and keep stakeholders informed. • Conductexploratory data analysisand integrate business context to inform modeling strategies. • Trackdata lineageand perform root cause analysis during early-stage exploration or issue resolution. • Translate business requirements intoscalable AI/ML solutionsin partnership with internal stakeholders. • Implement and maintainmodel monitoring, includingdata and model drift detection, alerting, and resolution workflows. • Design and executeA/B testing,backtesting, and other validation strategies to assess model performance and business impact. • Anticipate ambiguity in data, requirements, or business context and devisecreative, scalable solutionsto address them. • Serve as atechnical expertin machine learning engineering on cross-functional teams. • Stay current with advancements in AI/ML and assess their relevance to business challenges. Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). • 8+ years of experience acrossmachine learning engineering,data engineering, andMLOps implementation, including: • Designing and deploying production-grade ML systems. • Building scalable data pipelines and ML workflows. • Managing model lifecycle in cloud environments. • Proficient inPythonand familiar with ML frameworks such asTensorFlow,PyTorch, andScikit-learn. • Strong understanding ofcloud platforms, especiallyAWS SageMaker. • Experience withCI/CD,containerization(e.g., Docker), andorchestration tools(e.g., Kubernetes). • Solid grasp ofsoftware engineering principlesincluding testing, version control (e.g., Git), and security. • Familiarity with theMachine Learning Development Lifecycle (MDLC)and best practices for reproducibility and scalability. • Strong communication and collaboration skills, with experience working across technical and business teams. • Ability toanticipate ambiguityand devise scalable solutions to address it. Nice to Have • Experience withDatabricksfor scalable data and ML workflows. • Familiarity withFeature Storeconcepts and implementation. • Exposure toreal-time prediction systemsand streaming data architectures. • Knowledge ofdata governance,model explainability, andresponsible AIpractices. Special Factors SponsorshipVanguard is not 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.