Senior AI/ML Engineer SME

Senior AI/ML Engineer SME at General Dynamics Information Technology

General Dynamics Information Technology (GDIT) is seeking a Senior AI/ML Engineer SME to join their team. This role is crucial for designing, developing, engineering, and enhancing algorithms aimed at detecting and preventing fraud, waste, or abuse within Medicare, Medicaid, and Marketplace programs under a contract with the Centers for Medicare & Medicaid Services (CMS).

Responsibilities

• Design, develop, and deploy advanced AI models, including Generative AI solutions like Large Language Models (LLMs) and Agentic AI, or other AI-powered tools.
• Work with extensive structured and unstructured datasets to generate analytical insights and optimize business processes.
• Evaluate existing analytic solutions and business processes, recommending optimizations through the application of emerging technologies and AI/ML techniques.
• Stay updated on the latest AI technologies, advancements, solutions, and optimization methods to ensure continuous enhancement of AI solutions.
• Support multiple programs by evaluating 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 efficiently and on time.
• Extract qualitative and quantitative relationships, patterns, and trends from large datasets using tools such as Python, R, and SQL.
• Perform data analysis, statistical analysis, and machine learning modeling to conduct complex studies, develop sound inferences, and summarize results using various descriptive statistics.
• Collaborate with customers, users, and stakeholders to understand business objectives and design technical solutions that address specific business needs.
• Work within project teams, including other data scientists and non-technical subject matter experts, to deliver high-quality and impactful solutions within tight deadlines.

Required Skills

• Bachelor's degree in a related field or equivalent combination of education and experience with at least 15 years of relevant experience, or a Master's degree with 13 years of related experience.
• Demonstrated experience with Medicare and/or Medicaid data.
• Proven experience in fraud detection.
• Proficiency in using data visualization tools such as Tableau.
• Experience conducting health care related research and analytics.
• Expertise in developing and validating AI solutions like LLMs, chatbots, content generators, deep learning, and similar modern AI technology within cloud-based platforms (e.g., AWS, Azure).
• Experience conducting statistical/analytical and ML modeling and analysis using platforms like Databricks, Snowflake, or Python.
• Ability to work with large and disparate datasets to efficiently produce AI/ML solutions that meet business needs.
• Experience proactively identifying and collaboratively resolving data anomalies, data quality, and compliance issues in administrative data.
• Superior skills in working with large datasets efficiently and effectively, incorporating quality assurance techniques throughout the process.

Desired Skills

• Superior written and verbal communication skills, with the ability to explain complex situations clearly to both technical and non-technical audiences.
• Excellent customer service skills, including proactive and collaborative work with Federal research, compliance, and policy staff and stakeholders.
• Superior multi-tasking and organizational skills, capable of managing multiple simultaneous projects and prioritizing assignments while remaining flexible to changing priorities.

Key skills/competency

• AI/ML Development
• Fraud Detection
• Generative AI (LLMs)
• Cloud Platforms (AWS, Azure)
• Big Data Analytics
• Python, R, SQL
• Databricks, Snowflake
• Data Visualization (Tableau)
• Healthcare Data (CMS)
• Project Leadership