Machine Learning Engineer, Specialist

We're the AI Center of Excellence within the Chief Data and Analytics Office. We work on projects that enable AI practitioners to build AI products quickly and confidently. We tackle many open problems around AI safety and evaluations. One approach is finding vulnerabilities in Gen AI applications with an automated adversarial testing service. We're looking for people who are technically sharp and effective communicators to help design and deploy this service. This role involves development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. It requires leveraging a detailed understanding of machine learning models and their deployment architecture. Responsibilities Develops complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency. Proficient in model development environments and coding best practices to enable model deployment. Integrates and optimizes existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models. Proficient in SDLC processes and related tools and technologies. Partners with data science teams to review model ready dataset document/feature documentation. Develops data model design and document and reviews for completeness with data science teams. Partners with data science teams to understand data requirements, performs data discovery for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools. Engages with internal stakeholders to understand and probe business processes and develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities. Writes model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues. Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. Participates in special projects and performs other duties as assigned. Designs and implements statistical analysis frameworks and protocols to uncover business trends across functions like marketing, supply chain, and economics. Applies advanced data mining techniques to build scalable models for deriving actionable insights from large-scale data sets. Explores and integrates evolving methodologies in machine learning and big data science to enhance decision-making strategies. Qualifications Minimum 8 years of experience in machine learning engineering or data science roles Bachelor’s degree (B.E./B.Tech) in Computer Science, Data Engineering, AI/ML, or related fields, or a Master’s degree/Diploma in Computer Science or Data Science Strong expertise in data pipeline development, statistical modeling, SDLC, AI/ML concepts, model monitoring, and stakeholder engagement across domains Sponsorship Vanguard is not offering visa sponsorship for this position. #J-18808-Ljbffr