Applied AIML - Senior Associate
Applied AIML - Senior Associate
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Job Description
We are HR Data and Analytics a centralized global team responsible for all aspects of workforce data strategy analytics and reporting data governance and the development of artificial intelligence and machine learning (AI/ML) based solutions. We have a vision to help make individuals teams and businesses at JPMC among the most engaged and productive in the world. Our mission is to create workforce insights that allow leaders to make evidencebased people decisions that help drive measurable business outcomes.
As an Applied AI/ML Senior Associate within our dynamic team you will apply your quantitative data science and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling data analysis and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm making a significant impact at a leading financial services firm. Your role will be pivotal in developing datacentric solutions that enhance the firms bottom line.
Job responsibilities
- Engaging with stakeholders and understanding business requirements
- Developing AI/ML solutions to address impactful business needs
- Working with other team members to operationalize endtoend AI/ML solutions
- Engaging in research and development of innovative relevant solutions
- Documenting developed AI/ML models to stakeholders
- Coaching other AI/ML team members towards both personal and professional success
- Collaborating 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 and Machine Learning concepts and 3 years applied experience
- Advanced degree in analytical field (e.g. Data Science Computer ScienceEngineering Applied Mathematics Statistics Data AnalysisOperations Research)
- Experience in the application of AI/ML to a relevant field
- Demonstrated practical experience in machine learning techniques supervised unsupervised and semisupervised
- 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 Scikitlearn or others to dedicated projects
- Previous experience in working on Spark Hive and SQL
Preferred qualifications capabilities and skills
- Financial service background
- PhD in one of the above disciplines
Required Experience:
Senior IC
Employment Type
Full-Time
