JPMorgan Applied AI ML Sr Associate 

United States, Delaware, Wilmington 

662667717

This role will require you to partner continuously with stakeholders on a daily basis to stay focused on achieving the common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our home loan advisors.

This role requires a wide variety of strengths and capabilities, including:
• MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. If BS only, 2-4 years of hands-on experience developing machine learning models and statistical learning models : Random Forest, Support Vector Machine , and regression models
• Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
• Ability to develop and debug in Python, Java, C or C++. Proficient in GIT version control. R and Matlab are also relevant.
• Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, stats models).
• Familiarity with basic data table operations (SQL, Hive, etc.)
• Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
• Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems.
• Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
• Must be able to effectively communicate technical concepts and results to both technical and business audiences