Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field., 8+ years of professional experience in software engineering or IT., Proficiency in Python and experience with machine learning frameworks like TensorFlow or PyTorch., Experience deploying, tuning, and maintaining ML models in production (MLOps)..

Key responsibilities:

Lead evaluation of new or emerging technologies through prototypes and proofs of concept.

Analyze and communicate the benefits and risks of adopting new technologies.

Serve as a technical lead across development, operations, and security in cloud environments.

Mentor junior IT specialists and engineers.

Job description

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.

Description

At Capital Technology Group (CTG), we deliver high-impact digital services that help government agencies solve real problems—fast, reliably, and at scale. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role, we are seeking individuals to help support high-impact, civic tech within the federal government.

As an integral part of the program, the Senior Machine Learning Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, and leads teams to support the adoption of new technologies across the enterprise. The Senior Machine Learning Engineer will also provide technical leadership by supervising and mentoring junior IT specialists.

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

Responsibilities

Lead evaluation of new or emerging technologies through prototypes and proofs of concept
Analyze and clearly communicate the benefits and risks of adopting new technologies
Serve as a hands-on technical lead across development, operations, and security in cloud environments
Guide enterprise-wide adoption of modern tools, cloud platforms, and AI/ML solutions
Provide technical leadership and mentorship to junior IT specialists and engineers
Balance hands-on engineering with strategic architectural planning and system design

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field
8+ years of professional experience in software engineering or IT
Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
Experience deploying, tuning, and maintaining ML models in production (MLOps)
Experience with Amazon SageMaker
Experience with cloud platforms (AWS, Google Cloud, or Azure); deep AWS experience strongly preferred
Strong DevOps skills: CI/CD pipelines, infrastructure as code (CDK or Terraform), automation, and monitoring
Full-stack development experience:

Frontend: React, TypeScript
Backend: Python, Pandas, Scikit-learn
Data: PostgreSQL, S3,
Infrastructure as Code: Terraform or AWS CDK

Strong system architecture skills: designs secure, scalable systems with attention to both detail and big-picture strategy
Excellent communication and problem-solving skills
Ability to quickly learn and adapt to new projects and technologies

Nice to Have

AWS Certified Solutions Architect – Professional or Associate
Experience managing technical teams and mentoring engineers
Prior work in government or civic tech environments
Strong references from past roles. Particularly important if there’s a history of short tenures
Personable, collaborative, and thrives in fast-paced, evolving environments

Salary Information

We are committed to offering a competitive salary for this position, with an estimated range of $140k to $170k 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.

Full Time Employee Benefits

Remote Work (Hybrid roles will be specified in the job post)
Competitive Compensation Package
Medical, Dental, and Vision
Life Insurance, Short/Long Term Disability
Employee Assistance Program
401(k) with 4% matching
Liberal PTO vacation policy
Generous Annual Continuing Education
Annual Wellness Budget
Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Required profile