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Applied AI ML - Senior Associate

JPMorgan Chase
London, GBR
Full-time
Senior
Onsite
Discovered 1 weeks ago
PythonSQLlarge language modelsagentic frameworksgenerative AI
Free

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PythonSQLlarge language models
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Job Responsibilities

  • Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
  • Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
  • Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
  • Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
  • Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
  • Collaborate with technology teams to build scalable, reliable, and secure analytics and AI products
  • Identify opportunities to reduce costs, improve controls, enhance employee experiences, and expand organizational capabilities through data-driven solutions
  • Support adoption of reusable methodologies, tools, and vendor capabilities where appropriate
  • Communicate findings and recommendations clearly to technical and non-technical audiences
  • Ensure adherence to all applicable risk, control, and governance requirements

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
  • Experience developing and deploying machine learning or AI solutions using modern tools and techniques
  • Working knowledge of large language models, agentic frameworks, or generative AI technologies
  • Experience with statistical analysis, experimentation, and model evaluation methodologies
  • Proficiency in Python, SQL, and data science tooling used in enterprise environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to manage multiple priorities and deliver results in a collaborative environment

Preferred Qualifications, Capabilities, and Skills

  • Advanced degree in a quantitative discipline
  • Experience building automated machine learning or model evaluation workflows
  • Experience with AI, machine learning, or analytics solutions in a regulated environment
  • Familiarity with cloud-based data and analytics platforms
  • Experience collaborating across business, product, and technology teams

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