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Applied AI/ML Senior Associate

JP Morgan and Chase
Posted on
JP Morgan and Chase logo

Experience
3 - 8 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Machine Learning Engineer
Job Type
Not specified

Job Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.


As a Applied AI/ML Senior Associate at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm s business objectives.

Job responsibilities

  • Engages with stakeholders and understanding business requirements
  • Develops AI/ML solutions to address impactful business needs
  • Works with other team members to productionize end-to-end AI/ML solutions
  • Engages in research and development of innovative relevant solutions
  • Documents developed AI/ML models to stakeholders
  • Coaches other AI/ML team members towards both personal and professional success
  • Collaborates with other teams across the firm to attain the mission and vision of the team and the firm

Required qualifications, capabilities, and skills

  • Formal training or certification on data science concepts and 3+ years applied experience
  • 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

Preferred qualifications, capabilities, and skills
  • Financial service background
  • PhD/Masters in one of the above disciplines

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