Applied AI ML Associate

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Consumer & Community Banking

Applied AI Engineer within the Consumer and Community Banking team at JPMorgan Chase, focusing on designing and delivering AI/ML solutions for financial services. Responsibilities include creating and monitoring production code for generative AI systems, performing advanced analytics to diagnose model performance issues, gathering and analyzing data for AI applications, and identifying trends to improve business performance and system architecture. Requires 5+ years of experience in Python and AI/ML frameworks, model optimization, and familiarity with ML libraries and data engineering practices.

What you'd actually do

  1. Creates and monitor secure and high-quality production code, maintaining algorithms that integrate seamlessly with generative AI systems and other appropriate technologies.
  2. Apply critical thinking skills and perform advanced analytics to identify the reason for non-performing models
  3. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to continuously improve generative AI applications and systems.
  4. Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance
  5. Proactively identifies hidden problems and patterns in data, using these insights to drive improvements in coding hygiene and system architecture specific to generative AI.

Skills

Required

  • Python
  • AI/ML frameworks
  • model optimization
  • performance tuning
  • machine learning algorithms and techniques
  • supervised learning
  • unsupervised learning
  • reinforcement learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Keras
  • data engineering practices

Nice to have

  • mathematical
  • statistics
  • economics
  • computer science
  • bachelor’s degree
  • masters degree
  • consumer banking
  • retail banking products
  • SQL
  • Tableau
  • Alteryx

What the JD emphasized

  • 5+ years applied experience in Python and AI/ML frameworks
  • model optimization and performance tuning
  • integrate generative AI solutions into broader business processes and applications
  • machine learning algorithms and techniques
  • AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras
  • data engineering practices to support AI model training and deployment

Other signals

  • designing and delivering trusted, market-leading technology products
  • implementing critical technology solutions
  • integrates seamlessly with generative AI systems
  • improve generative AI applications and systems
  • improve business performance
  • drive improvements in coding hygiene and system architecture specific to generative AI