Developer (AI/ML Scientist)

Codetech•Malvern, PA

About The Position

As a Senior AI/ML Scientist, you will advance AI/ML initiatives aligned with the Global Risk & Security (GR&S) organization. You will build scalable, value-driven solutions that improve operational efficiency and reduce enterprise risk, partnering with cross-functional teams to deliver practical outcomes through robust technical execution and clear communication. The role combines applied engineering, experimentation, and communication. It includes leading the design, development, and evaluation of AI/ML and Generative AI solutions; supporting product and business decisions; establishing model quality and governance processes; evaluating emerging technologies and vendor solutions; and translating research into production-ready implementations.

Requirements

  • MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • At least 3 years of industry experience delivering AI/ML solutions, including building, scaling, and optimizing training and inference workflows or APIs for deep learning models.
  • At least 5 years of hands-on programming experience in Python.
  • Demonstrated experience with open-source and/or commercial large language models and ecosystems.
  • Robust understanding of the GenAI landscape, including recent advancements, emerging trends, and principles of responsible and secure AI use.
  • Excellent communication and consulting skills, including 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.

Nice To Haves

  • Experience with PySpark or distributed data processing frameworks is highly preferred.
  • Experience with LLM ecosystems such as Hugging Face or LangGraph, or similar platforms.

Responsibilities

  • Lead the design, development, and evaluation of AI/ML and GenAI solutions; identify high-impact opportunities and review models for quality, robustness, and fitness for purpose.
  • Partner with product leaders and business stakeholders to prioritize AI features, models, and controls, and act as an AI/ML subject-matter expert to drive measurable outcomes.
  • Design, implement, and manage model quality processes, including automated evaluation pipelines, human-in-the-loop reviews, monitoring, and documentation aligned with responsible AI practices.
  • Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third-party AI capabilities.
  • Collaborate with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights clearly and promptly.
  • Translate research and experimentation into production-ready solutions by exploring novel techniques, algorithms, and architectures for real-world problems.
  • Communicate complex technical concepts to technical and non-technical audiences, and contribute to learning, reuse, and continuous improvement.
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