VP, Applied AI/ML — Private Banking Leader

Testing Site - JPMC; Wilmington (DE); On-site; USD 180,000 - 320,000; Full time

Job summary

Testing Site - JPMC seeks an Applied AI/ML Vice President to tackle complex problems by designing, developing, evaluating, and executing data science and analytical solutions. You will collaborate with multiple teams, handle data wrangling, analysis, and modeling, and drive end-to-end AI/ML initiatives.

The role requires advanced degrees in analytical fields and hands-on experience with NLP, Python, R, C++, and ML libraries, with a track record of deploying models and working with Spark/Hive/SQL

Qualifications

• Advanced degree in analytical field.
• Experience in applying AI/ML to a relevant domain.
• Demonstrated practical experience in machine learning techniques (supervised, unsupervised, semi-supervised).
• Strong experience in NLP and its applications.
• Proficient coding in Python, R, and C++, with libraries like TensorFlow, Keras, PyTorch, Scikit-learn.
• Previous experience with Spark, Hive, and SQL.

Responsibilities

• Engaging with stakeholders and understanding business requirements.
• Developing AI/ML solutions to address impactful business needs.
• Working with team members to productionize end-to-end AI/ML solutions.
• Engaging in research and development of innovative relevant solutions.
• Coaching other AI/ML team members towards success.
• Collaborating with other teams across the firm to attain the mission and vision.

Skills

AI/ML leadership

NLP

Python

R

C++

Data analysis

Model deployment

Education

Advanced degree in Data Science / CS / Engineering / Applied Mathematics / Statistics

PhD preferred / 3+ years of relevant experience

Tools

TensorFlow

Keras

PyTorch

Scikit-learn

Spark

Hive

SQL

Job description

Testing Site - JPMC seeks an Applied AI/ML Vice President to tackle complex problems by designing, developing, evaluating, and executing data science and analytical solutions. You will collaborate with multiple teams, handle data wrangling, analysis, and modeling, and drive end-to-end AI/ML initiatives.

The role requires advanced degrees in analytical fields and hands-on experience with NLP, Python, R, C++, and ML libraries, with a track record of deploying models and working with Spark/Hive/SQL