Senior Machine Learning Engineer, Specialist

Performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Leverages detailed understanding of machine learning models and their deployment architecture. Overview: We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services. Responsibilities: • Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability. • Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions. • Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling. • Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy. • Perform data discovery and analysis of raw data sources, applying business context to meet model development needs. • Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis. • Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches. • Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts. • Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives. • Stay updated with the latest advancements in AI/ML and apply them to real-world challenges. • Participate in special projects and additional duties as assigned. Qualifications: • Undergraduate degree or equivalent experience; a graduate degree is preferred. • Minimum of 8 years of relevant work experience. • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker). • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks. • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases. • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation. • Experience with API design and development is a plus. • Solid understanding of software engineering principles, including design patterns, testing, security, and version control. • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols. • Understanding of solution architecture for building end-to-end machine learning data pipelines. 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.