Description

Enterprise Finance Technology:

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Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully.
Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital.
Job Overview:

This person will serve as a member of the Technology Strategy and Development organization with oversight on projects that explore the emerging technologies and technical strategies that will help establish the technical vision for the future scale of our organization. They will create and manage a research and innovation lab that will work on exploring technological opportunities and formulating emerging tech strategies that will set the foundation to solve complex business strategic goals. They will establish the starting point for new technologies, architectural patterns and practices, and enterprise architecture scale and efficiencies that will shape how software development and technology adoption will evolve at Bank of America.

Responsibilities:

Develop solutions for real-world, large-scale problems using Artificial Intelligence/Machine Learning; improve deep learning engine that can automate and improve efficiency of current Enterprise Resource Planning Systems SAP & Oracle AP/FA/GL process
To help designing, innovating and building our next generation ML architecture
This role bridges the gap between Software Engineer and Research Scientist.
Working experience with any major deep learning engine; familiarity with Deep Learning for Java (DL4J) toolkit is a major plus.
Technically oriented, proactive, and enthusiastic, with extreme attention to detail. Build ingestion processes to prepare, extract and enrich a variety of structured and unstructured data sources, news, internal/external documents, images, emails, financial data, and operational data.
Utilize a hypothesis-driven problem-solving approach to design, construct and rapidly test/iterate exploratory models that will reveal insight and opportunities for the business
Experience involving modeling (regression, machine learning, feature selection, dimension reduction, validation), data (extracting, preparing, munging, validating), and building analytics pipelines.
Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; provide assistance and resolve problems, using solid problem-solving skills, verbal/written communication, and data visualizations
Broad, versatile knowledge of analytics and data science landscape, enabling the identification, design and deployment of optimal machine learning solutions
Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL) and related technologies; Proficiency with data visualization tools such as Tableau and QlikView
.

Required Skills:

2-4 years of web development experience; including programming and developing web applications.
Well versed in Full Stack development from UI (like Angular, Node.js, jQuery, Bootstrap, HTML, CSS)
Strong experience in agent based intelligent control systems and reinforcement learning.
Proficiency in one or more of the following languages: C, C++, Python, Java.
Strong understanding of how Message Oriented Middleware works and any work performed in relevance of it.
Experience in using J2EE frameworks like spring, Struts.
Familiar with J2EE\Java design patterns and how to apply them.
Good troubleshooting skills and be able to work in a team environment.
Experience with implementing numerical methods and data visualization.
Hands-on in symbolic programming, event–based system design.
Experience in software development of multi-threaded, scalable and highly-available distributed systems.
Strong computer science fundamentals in object-oriented design, data structures, high-performance computing, algorithm design and problem solving.
Knowledge of software engineering practices and best practices for software development.
Extensive experience implementing numerical and/or machine learning algorithms.
Ability to translate abstract algorithm descriptions into software requirements, design specifications, and implementations.
Experience in design and implement high quality software for AI algorithms developed by AI Data Scientists for deployment.
Desired: BS/BA or a combination of experience and education/training equivalent to a four year college degree

Shift:

1st shift (United States of America)
Hours Per Week:

40