Senior AI/ML 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. Description 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. As an integral part of the program, the Senior AI/ML 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, leads teams to support the adoption of new technologies across the enterprise. The Lead AI/ML 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 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 Shall have the ability to perform as a developer, operations, and security engineer in cloud environments Lead teams to support the adoption of new technologies across the enterprise Provides technical leadership by supervising and mentoring junior IT specialists Requirements Bachelors Degree 7-10  years of relevant experience At least 3 years of experience deploying production enterprise applications in AWS At least 2 years of experience deploying production enterprise applications with an AI/ML component Strong proficiency in Python Experience with machine learning frameworks such as TensorFlow or PyTorch Experience with machine learning services such as Bedrock, SageMaker, Hugging Face, Weights & Biases, or others Solid data manipulation and analysis skills using pandas Experience presenting and defending test or experiment results (matplotlib) Experience working with cloud platforms, with AWS preferred  Must be able to get up-to-speed quickly on new projects and technologies Strong communication and problem-solving skills Comfortable presenting and speaking with clients/customers Nice to Have Skills People Management Experience Salary Range We are committed to offering a competitive salary for this position, with an estimated range of $150k to $200k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change. 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.   Offices: Remote (Remote);