Software engineer III - AI ML

Key Skills

Aartificial intelligence, Agile methodologies, Apache Hive, API, AWS, C Programming, C++, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Database, Design, Effective communication skills, Git, Java Programming, Jenkins, Keras software library, Lambda, Linear regression, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, Software Development, SQL, Statistics, statsmodels, TensorFlow

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

Job Summary

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, Home Lending Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Bachelor's or master's 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

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies