Software / Machine Learning Engineer

Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity. 

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.

Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking individuals to help support high-impact, civic tech within the federal government.

We are seeking a Software / Machine Learning Engineer to support high-impact federal initiatives focused on building modern, user-centric, and data-driven systems. You’ll work on cross-functional teams to develop full-stack applications, evaluate emerging technologies, and build proof-of-concepts in machine learning, AI, and cloud environments. This role blends hands-on engineering with opportunities for technical leadership.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

• Design, develop, and implement scalable software solutions and machine learning prototypes
• Analyze user needs to customize or optimize software
• Evaluate new or emerging technologies and communicate their benefits and risks
• Lead or support the adoption of new tools, frameworks, and practices across projects
• Collaborate with cross-functional teams
• Support CI/CD workflows, containerized deployments, and secure cloud architectures
• May mentor and supervise software developers.

• Bachelor’s degree in Computer Science, Engineering, or related field and 5+ years of professional experience in software development and machine learning, or 9+ years of relevant experience in lieu of a degree
• Proficiency in languages such as Python, Java, JavaScript, TypeScript, or Ruby on Rails
• Experience with front-end frameworks (e.g., ReactJS) and back-end technologies
• Familiarity with databases (e.g., PostgreSQL, MySQL), web servers (e.g., Apache, Jenkins), and RESTful APIs
• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch) and data libraries (e.g., pandas)
• Hands-on experience with Large Language Models (LLMs)
• Strong communication skills and ability to quickly adapt to new technologies

Nice to Have Skills

• Experience with Amazon Bedrock and/or Amazon SageMaker
• Experience with R / RShiny
• Experience with DevOps, CI/CD, Docker, and Kubernetes
• Cloud experience with AWS, Azure, or Google Cloud
• People or technical team management experience
• Experience supporting software systems in the public sector or federal government
• Interest in civic tech, digital services, and user-centered design

Salary Information:

We are committed to offering a competitive salary for this position, with an estimated range of $120K to $145K annually. Please note that this range is intended to provide a general idea of what to expect. The final offer may vary based on experience, skills, and other factors.

Join our team and be part of a company that values growth, innovation, and making a difference. Capital Technology Group is not just a place to work—it's a place to thrive.