Software Engineer III

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 

Job Description:

This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Responsibilities:

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)

Managerial Responsibilities:

This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Creates an inclusive team where members are treated fairly and respectfully.
• Manager of Process & Data: Demonstrates and expects process knowledge, data driven decisions, simplicity and continuous improvement.
• Enterprise Advocate & Communicator: Delivers clear and concise messages that motivate, convey the “why” and connects contributions to business results.
• Risk Manager: Leads and encourages the identification, escalation and resolution of potential risks.
• People Manager & Coach: Knows and develops team members through coaching and feedback.
• Financial Steward: Manages expenses and demonstrates an owner’s mindset.
• Enterprise Talent Leader: Recruits, on-boards and develops talent, and supports talent mobility for career growth.
• Driver of Business Outcomes: Delivers results through effective team management, structure, and routines.

Position Summary:

The DCRS ACDE team has embarked on the exploring and eventually implementing Gen AI Solution to provide automation and efficiency for use cases which were not automatable earlier. In order to effectively grow and sustain this capability within DCRS, we need an Employee, who has the niche skill set of AI, NLP and Machine Learning along with the aptitude and attitude to apply it to business problems.

We’re looking for a Data Scientist who can be responsible for designing, building and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning & NLP Models and good familiarity with Gen AI Models.

Mandatory In Office Policy - Three (3) Days a week

Required Qualifications:

•  7+ years of experience as Data Scientist or related roles
• Bachelor’s degree in Computer Science, or a related technical field
• Deep understanding and some exposure to new Gen AI Open-source Models
• At least 5 years programming experience in software development and Agile process
• At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.
• Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
• Experience in ML/NLP development pipelines of large data sets, both structured & unstructured
• At least 2 years’ experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
• Knowledge and hands-on experience working with OCR products

Desired Qualifications

• Master’s degree in Computer Science/Data Science, or a related technical field
• Collaborating with a diverse set of partners and stakeholders from various Line of Business.
• Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
• Critical thinker; ability to analyze problems and identify issues and provide solutions
• Ability to navigate the enterprise & data assets across multiple functions.
• Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment
•  Excellent communication and Presentation skills
• Analytical abilities & great problem solving
• Client focused

Skills:

• Application Development
• Automation
• Influence
• Solution Design
• Technical Strategy Development
• Architecture
• Business Acumen
• DevOps Practices
• Result Orientation
• Solution Delivery Process
• Analytical Thinking
• Collaboration
• Data Management
• Risk Management
• Test Engineering

Shift:

Hours Per Week: