Software Engineer II

MedStar Health; Addison (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading healthcare organization is seeking a Data Scientist to design and develop innovative AI and NLP solutions. The ideal candidate will leverage a background in software engineering and possess skills in machine learning models to drive efficiency and automation in document capture applications. Join a team dedicated to building intelligent solutions that will impact healthcare positively.

Qualifications

• 2+ years of experience as Data Scientist or related roles.
• Deep understanding of Gen AI Open-source Models.
• Experience in setting up supervised & unsupervised ML/NLP models.

Responsibilities

• Codes solutions and unit tests to meet requirements.
• Utilizes multiple architectural components in design and development.
• Contributes to Continuous Integration and Delivery activities.

Skills

Application Development

Automation

Collaboration

DevOps Practices

Solution Design

Agile Practices

Architecture

Analytical Thinking

Data Management

Education

Bachelors degree in Computer Science or a related technical field

Masters degree in Computer Science/Data Science or a related technical field

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!

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.

Were 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 requirements
• Utilizes multiple architectural components (across data, application, business) in design and development of client requirements
• Performs Continuous Integration and Continuous Development (CI-CD) activities
• Contributes to story refinement and definition of requirements
• Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle
• Contributes to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas

Required Qualifications:

• 2+ years of experience as Data Scientist or related roles
• Bachelors degree in Computer Science, or a related technical field
• Deep understanding and some exposure to new Gen AI Open-source Models
• At least 2-3+ years programming experience in software development and Agile process
• At 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 & 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
• Experience 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:

• Masters 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
• Collaboration
• DevOps Practices
• Solution Design
• Agile Practices
• Architecture
• Result Orientation
• Solution Delivery Process
• User Experience Design
• Analytical Thinking
• Data Management
• Risk Management
• Technical Strategy Development
• Test Engineering

Shift:

1st shift (United States of America)

Hours Per Week:

40