JC
JPMorgan Chase
Data Scientist

Data Scientist Lead - AI Solutions

On-siteSeniorData Scientistposted 1mo ago
Role summaryAI-generated

Lead a team to design and deliver market-leading AI technology products at JPMorgan Chase, collaborating with various lines of business to deliver software solutions and experiment with new AI applications.

Skills required

About this role

As the next push into this investment, JPMC is hiring the best talents to join our AI engineering team. We are executing like a startup and building the next generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for people who are excited about the opportunity.

As a Data Scientist Lead at JPMorgan Chase, you design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Job Responsibilities

  • Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
  • Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
  • Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.

Required qualifications, capabilities and skills

  • BE/B. Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
  • Solid programming skills with Python/Java 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/Pytorch
  • Knowledge of prompt engineering.
  • Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic.
  • Cloud Technologies: AWS/GCP/Azure, Kubernetes
  • Strong analytical and critical thinking skills.
  • Self-motivation, great communication skills and team player.

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