Applied Aiml, Sr Associate

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Asset & Wealth Management

Senior Associate role focused on applying AI/ML to complex problems within a financial services firm. Responsibilities include designing, developing, and productionizing end-to-end AI/ML solutions, with a focus on NLP and various machine learning techniques. The role involves stakeholder engagement, research, documentation, and coaching.

What you'd actually do

  1. Engaging with stakeholders and understanding business requirements
  2. Developing AI/ML solutions to address impactful business needs
  3. Working with other team members to productionize end-to-end AI/ML solutions
  4. Engaging in research and development of innovative relevant solutions
  5. Documenting developed AI/ML models to stakeholders

Skills

Required

  • Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
  • Experience in the application of AI/ML to a relevant field
  • Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
  • Strong experience in natural language processing (NLP) and its applications
  • Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
  • Previous experience in working on Spark, Hive, and SQL

Nice to have

  • Financial service background
  • PhD/Masters in one of the above disciplines with minimum 3 years of relevant experience

What the JD emphasized

  • productionize end-to-end AI/ML solutions
  • application of AI/ML to a relevant field
  • machine learning techniques, supervised, unsupervised, and semi-supervised
  • natural language processing (NLP)

Other signals

  • productionize end-to-end AI/ML solutions
  • research and development of innovative relevant solutions
  • application of AI/ML to a relevant field
  • machine learning techniques, supervised, unsupervised, and semi-supervised
  • natural language processing (NLP)