About this role
Remote work is available for the full-time Lead AI/ML Engineer position at Capital Technology Group, guiding artificial intelligence initiatives for federal clients. This opportunity suits an experienced technical leader focused on cloud environments, machine learning production, and mentoring engineering teams.
Role Overview
Capital Technology Group seeks a Lead AI/ML Engineer to oversee the creation, assessment, and deployment of artificial intelligence solutions for federal programs. The professional will direct technical evaluations, communicate implementation risks to stakeholders, and mentor team members while collaborating directly with clients.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Capital Technology Group offers expert consulting in software development, digital transformation, human-centered design, cybersecurity, and data analytics. Recognized as a Top Workplace by The Washington Post, the organization participates in the Digital Services Coalition and partners with federal agencies to modernize software delivery.
How to Apply
Candidates must submit their applications directly on the official Capital Technology Group careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Lead AI/ML Engineer role?
The estimated annual salary range is between $180,000 and $230,000, with final offers varying based on experience and skills.
Are there specific citizenship requirements for this position?
Yes, applicants must be U.S. citizens and be able to obtain a Public Trust clearance.
Is remote work permitted for this job?
Yes, the position supports remote work.
What level of education is required?
A Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical field is required, though equivalent experience is also accepted.
How many years of professional experience are necessary?
Candidates need 7 to 10 years of professional experience in software engineering or cloud engineering, including at least 3 years in AWS production deployments and 2 years in production AI/ML deployments.
The application is on the official Capital Technology Group careers page.
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