Applied AI /ml

JPMorgan Chase JPMorgan Chase · Banking · Hyderabad, Telangana, India · Commercial & Investment Bank

Applied AI/ML Lead role within the Payments Technology team at JPMorgan Chase, focusing on integrating machine learning into key financial products. The role involves researching, developing, and productionizing ML models, services, and platforms, designing scalable data pipelines, and leading a team of ML scientists to solve business problems in Payments Trust & Safety.

What you'd actually do

  1. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions.
  2. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact.
  3. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.
  4. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC.

Skills

Required

  • 3+ years of experience and a degree in Computer Science, Statistics, Mathematics or Machine learning related field.
  • Solid programming skills with Java, Python or other equivalent languages.
  • Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
  • Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
  • Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
  • Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB.
  • Strong analytical and critical thinking skills.
  • Self-motivation, great communication skills and team player

Nice to have

  • Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.
  • Experience in big data technologies: Hadoop, Hive, Spark, Kafka.
  • Experience in distributed system design and development

What the JD emphasized

  • productionize high-quality machine learning models, services, and platforms
  • highly scalable and reliable data processing pipelines

Other signals

  • integrate machine learning into our key products
  • develop impactful Machine Learning solutions
  • building next-gen technology that leverages JPMorgan's unique data and full-service advantage to create high-impact AI applications and platforms
  • productionize high-quality machine learning models, services, and platforms to make a significant business impact