Business Modeling - Natural Language Processing - Applied AI ML Senior Associate
JP Morgan
Come join us in reshaping the future!
As an Applied AI ML Senior Associate, in our Business Modeling AI Operations team, you will work on developing cutting-edge models and systems to serve our customers and internal agents supporting the bank’s operations .
Job Responsibilities
Apply deep natural language processing (NLP) knowledge and experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems. Generate deep insights through the analysis of data and understanding of the bank’s operations that are both external and internal facing and turn them into actionable recommendations. Contribute to the full product development lifecycle, including defining the objective and key product deliverables. Act as a subject matter expert and trusted advisor in system development, computer algorithms, NLP and machine learning. Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.Required qualifications, capabilities, and skills:
Advanced degree in Computer Science; Advanced programming skills of 5 years (PhD, or masters + 3 years industrial) on more than 1 programming language. Open to learn different programming languages seamlessly. Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box. Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.Preferred qualifications, capabilities, and skills:
Ph.D. is preferred or master’s degree with research experience. Familiarity with big-data environments (e.g. Hadoop, Spark) and code development experience on a cloud development platform. Experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems). Programming languages such as Spark, Python, Scala, Java are preferred.
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