Design, develop, and deploy AI models such as Generative AI solution (e.g., Large Language Models (LLMs)), Agentic AI, or AI powered tools working with large datasets and a variety of data, structured and unstructured, to create analytic insights and streamline business processes
Evaluate analytic solutions and business processes to recommend optimization through emerging technologies and AI/ML techniques
Remain current on AI technologies, advancements, solutions, and optimization methods to recommend and apply continuous advancement of AI solutions
Support multiple programs and evaluate overarching solutions, frameworks, and techniques to maximize the value of emerging technology
Lead project teams to design, develop and deliver complex solutions that achieve strong business value timely and efficiently
Extract qualitative and quantitative relationships, patterns, and trends from large amounts of data using various tools such as Python, R, SQL, etc.
Perform data analysis, statistical analysis, and machine learning modeling to conduct complex studies, develop sound inferences, and summarize results using a variety of descriptive statistics
Work with a variety of customers, users, and stakeholders to understand business objectives and design technical solutions to address the business needs
Collaborate within project teams including other data scientists and non-technical subject matter experts to achieve high quality and impactful solutions within tight timelines

BA in related field or equivalent combination of education and experience + at least 15 yrs related experience, or MA + 13 yrs related experience
Experience with Medicare and/or Medicaid data
Experience with fraud detection
Experience using data visualization tools such as Tableau
Experience conducting health care related research and analytics
Experience developing and validating AI solutions such as LLMs, chatbots, content generators, deep learning, and similar modern AI technology in cloud-based platforms (AWS, Azure, etc.)
Experience conducting statistical/analytical and ML modeling and analysis using Databricks, Snowflake or Python, etc.
Experience working with large and disparate datasets to efficiently produce AI/ML solutions to meet business needs
Experience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data
Superior skills working with large datasets efficiently and effectively incorporating quality assurance techniques throughout the process.

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match
To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year
Paid leave and paid holidays are prorated based on the employee’s date of hire.
The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
Other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.

AI/ML Engineer, SME

Key skills