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, coding solutions, unit testing, and ensuring the solution can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces. Job expectations include an awareness of development and testing practices in the industry.

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

Responsibilities:

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirementsUtilizes multiple architectural components (across data, application, business) in design and development of client requirementsPerforms Continuous Integration and Continuous Development (CI-CD) activitiesContributes to story refinement and definition of requirementsParticipates in estimating work necessary to realize a story/requirement through the delivery lifecycleContributes to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying causePerforms spike/proof of concept as necessary to mitigate risk or implement new ideas

Required Qualifications:

2+ years of experience as Data Scientist or related rolesBachelor’s degree in Computer Science, or a related technical fieldDeep understanding and some exposure to new Gen AI Open-source ModelsAt least 2-3+ years programming experience in software development and Agile processAt least 2-3+ 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 & visualizationExperience in ML/NLP development pipelines of large data sets, both structured & unstructuredAt 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 processingKnowledge and hands-on experience working with OCR productsExperience in working with Llamm 3.3+ Gen AI Model in the OpenShift Container Environment to extract calibrated data from documents and verify the information in the documents

Desired Qualifications:

Master’s degree in Computer Science/Data Science, or a related technical fieldCollaborating 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 oversightCritical thinker; ability to analyze problems and identify issues and provide solutionsAbility 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 skillsAnalytical abilities & great problem solvingClient focused

Skills:

Application DevelopmentAutomationCollaborationDevOps PracticesSolution DesignAgile PracticesArchitectureResult OrientationSolution Delivery ProcessUser Experience DesignAnalytical ThinkingData ManagementRisk ManagementTechnical Strategy DevelopmentTest Engineering

Shift:

1st shift (United States of America)

Hours Per Week: 

40