Chase Modeling - Applied AI Modeling Lead - Vice President
Chicago or Columbus
$138k-$235k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOEMS in a quantitative field; 7+ years in credit cards ML models; 5+ years AI (reinforcement learning/optimization); Python with MLDL frameworks; strong analytical planning and communication.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOEMinimum 7 years software/security engineering; 3+ years building ML/LLM systems in production; proficiency in Python and at least one of Java/Scala/TypeScript; experience with SIEM/EDR/SOAR/IAM/ITSM; ML/LLM ecosystems; strong secure SDLC knowledge.
New York or Wisconsin or Georgia or New Jersey or Highland Park or Punta Gorda or Tennessee or Pennsylvania or Kentucky or Ohio or Indiana or Keswick
RemoteFull Time
M2S Group: Manufacturer of engineered coatings and specialty print media.
8+ YOE8+ years in software or data architecture with 4+ years focused on ML systems; deep cloud platform expertise; experience designing production ML pipelines, MLOps, model monitoring, and LLM/GenAI architectures.
Accelerated Leadership Program - Research & Development - AI R&D Enablement
Wooster, Ohio, United States
$82k/yrOnsiteFull Time
SchaefflerFrankfurt Stock Exchange: SHA0: Manufacturer of high-precision components for automotive and industrial applications.
Bachelor's in Computer Engineering/Computer Science, 3.0+ GPA, prompt engineering/AI workflow experience, at least two co-op/internship rotations, ML and simulation exposure, strong communication and Microsoft Office skills.
Columbus or Chicago or Wilmington or Plano or Jacksonville or Tampa
$114k-$165k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOEDesign and deploy end-to-end AI/ML and agentic LLM solutions; strong Python and ML library experience; 5+ years deploying production ML/LLM pipelines; cloud and MLOps familiarity.