Developer (AI/ML Scientist)

Developer (AI/ML Scientist)
Malvern, PA - Hybrid


Level 3 (5-8 Years) Senior
Hybrid - Malvern pa
Responsibilities

• Are you excited to solve real world business challenges by advancing Generative AI (GenAI) and modern AI/ML techniques? Do you enjoy bridging applied engineering, experimentation, and clear communication to deliver practical impact? If so, we invite you to join our team.
• As a Senior AI/ML Scientist at Vanguard, you will help advance AI/ML initiatives aligned with our Global Risk & Security (GR&S) organization. You will build scalable, value driven solutions that improve operational efficiency and reduce enterprise risk, working closely with cross functional partners to drive outcomes through strong technical execution and clear communication.

Core Responsibilities

• AI/ML & GenAI Solution Leadership: Lead the design, development, and evaluation of AI/ML and GenAI solutions, identifying high impact opportunities and reviewing in development models for quality, robustness, and fitness for purpose.
• Product & Business Partnership: Partner with product leaders and business stakeholders to prioritize AI features, models, and controls; serve as a trusted AI/ML subject matter expert to drive measurable business outcomes.
• Model Quality & Governance: Design, implement, and manage model quality processes, including automated evaluation pipelines, human in the loop reviews, monitoring, and documentation aligned with responsible AI practices.
• Technology Evaluation & Adoption: Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third party AI capabilities.
• Cross Functional Collaboration: Work closely with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights with urgency and clarity.
• Applied Research & Implementation: Translate research and experimentation into production ready solutions by exploring Client techniques, algorithms, and architectures applicable to real world problems.
• Communication & Knowledge Sharing: Clearly communicate complex technical concepts to both technical and non technical audiences; contribute to a culture of learning, reuse, and continuous improvement.

Qualifications

• MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
• 3+ years of industry experience delivering AI/ML solutions, including building, scaling, and optimizing training and inference workflows or APIs for deep learning models.
• 5+ years of hands on programming experience in Python; experience with PySpark or distributed data processing frameworks is strongly preferred.
• Demonstrated experience with open source and/or commercial large language models (LLMs) and ecosystems (e.g., Hugging Face, LangGraph, or similar platforms).
• Strong understanding of the GenAI landscape, including recent advancements, emerging trends, and principles of responsible and secure AI use.
• Excellent communication and consulting skills, with the ability to influence and explain complex concepts to technical and non technical stakeholders.

Proven experience working in cross functional teams and balancing technical trade offs with business objectives