Lead AI/ML Engineer

Capital Technology Group, LLC

. Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $180,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and deploying AI/ML applications within AWS cloud environments, with a strong focus on machine learning model optimization and enterprise adoption of AI technologies. Proven ability to lead technical evaluations, mentor engineering teams, and communicate complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

AWS Cloud EngineeringMachine Learning Model OptimizationPython ProgrammingAI/ML Application DeploymentTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine Learning FrameworksData AnalysisCloud EngineeringAI/ML Application DevelopmentProduction DeploymentExperimentationTechnical EvaluationModel TrainingData Manipulation

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving SkillsMentoringCollaboration

Tools & Technologies

AWSTensorFlowPyTorchAmazon BedrockSageMakerHugging FaceWeights & BiasesPandasMatplotlib

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

AI TechnologiesMachine LearningCloud-Native EnvironmentsEnterprise ApplicationsTechnical Leadership

Tech Stack

Tools & technologies

AWSCloudPandasPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation
Analyze and communicate the benefits, tradeoffs, and implementation risks of new technologies to technical and business stakeholders
Design, develop, and deploy production-ready AI/ML applications within AWS cloud environments
Support AI/ML application development across development, operations, and security disciplines in cloud-native environments
Drive enterprise adoption of modern AI technologies and engineering best practices
Build, train, evaluate, and optimize machine learning models for production use cases
Collaborate directly with clients and cross-functional engineering teams to deliver mission-critical solutions
Provide technical leadership by mentoring engineers and supporting the professional growth of junior team members
Present technical findings, experiment results, and architectural recommendations to internal leadership and federal customers

Requirements

What you’ll need

Applicants must be U.S. Citizens
Ability to obtain a Public Trust clearance
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical field (or equivalent experience)
7–10 years of professional experience in software engineering or cloud engineering experience
At least 3 years of experience deploying production enterprise applications in AWS
At least 2 years of experience deploying production AI/ML applications in enterprise environments
Strong proficiency in Python
Experience with machine learning frameworks such as TensorFlow or PyTorch
Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies
Strong data analysis and manipulation experience using pandas
Experience visualizing and presenting experiment results using tools such as matplotlib
Experience working within AWS cloud environments
Ability to quickly learn new technologies and contribute across multiple projects
Strong analytical, communication, and problem-solving skills
Comfortable presenting technical solutions to clients and executive stakeholders

Benefits

Comp & perks

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)