Senior Machine Learning Engineer, Specialist

• 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 Sponsorship Vanguard 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. Stats for this job Salary comparison: This job National average IT Jobs average Pennsylvania average Salaries The number of jobs in each salary range for all: Receive