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Applied AIML, Executive Director
Applied AIML, Executive DirectorJPMorganChase • Jersey, New Jersey, USA
Applied AIML, Executive Director

Applied AIML, Executive Director

JPMorganChase • Jersey, New Jersey, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Description

As an Applied AI / ML Executive Director within our dynamic team you will apply your quantitative data science and analytical skills to complex problems. As a Machine Learning Director you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing speech analytics time series reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment working together with our business technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning researching and experimenting with new innovations in the field this role is for you.

Job responsibilities

  • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP) speech recognition and analytics time-series predictions or recommendation systems
  • Collaborate with multiple partner teams such as Business Technology Product Management Legal Compliance Strategy and Business Management to deploy solutions into production
  • Coaching other AI / ML team members towards both personal and professional success

Required qualifications capabilities and skills

  • PhD in a quantitative discipline e.g. Computer Science Electrical Engineering Mathematics Operations Research Optimization or Data Science Or with at least 5 years of industry experience or an MS with at least 7 years of industry or research experience in the field.
  • Solid background in NLP or speech recognition and analytics personalization / recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
  • Extensive experience with machine learning and deep learning toolkits (e.g. : TensorFlow PyTorch NumPy Scikit-Learn Pandas)
  • Ability to design experiments and training frameworks and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious hardworking and detail-oriented and motivated by complex analytical problems
  • Preferred qualifications capabilities and skills :

  • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
  • Knowledge in search / ranking Reinforcement Learning or Meta Learning
  • Experience with A / B experimentation and data / metric-driven product development cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
  • Published research in areas of Machine Learning Deep Learning or Reinforcement Learning at a major conference or journal
  • Required Experience :

    Director

    Key Skills

    Fiscal Management,Fundraising,Assisted Living,Management Experience,Hospice Care,Nonprofit Management,Operations Management,Strategic Planning,Budgeting,Grant Writing,Leadership Experience,Public Speaking

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 223250 - 325000

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