AI Engineer

DKC Group, LLC

AI SME/AI Systems Engineer role at DKC Group, working part-time on federal mission AI solutions. Ideal for experienced AI professionals with federal environment expertise.

Posted 7/8/2026part-timeAlabama, Alaska, Arizona, California, Colorado, Connecticut, Florida, Hawaii, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming • 🇺🇸 United StatesMid-LevelSenior💰 $100 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying machine learning models and AI applications, with proficiency in Python and ML frameworks. Capable of collaborating with cross-functional teams to implement AI/ML solutions and evaluate model performance.

Highest-signal resume keywords

Machine LearningDeep LearningPython ProgrammingTensorFlowNatural Language Processing

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningDeep LearningPython ProgrammingTensorFlowPyTorchScikit-LearnNatural Language ProcessingLarge Language ModelsGenerative AI ToolsData Pipeline Development

Soft Skills

Analytical SkillsProblem-SolvingAttention to DetailCommunication Skills

Tools & Technologies

AWSAzureGCPMLOps PracticesOpenAIHugging Face

Industry Keywords

AI EngineeringAI-Powered ApplicationsModel Training WorkflowsInference SystemsTechnical Documentation

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning models and AI-powered applications
Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
Build and maintain data pipelines, model training workflows, and inference systems
Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
Monitor model performance, conduct testing, and iterate on improvements
Document technical architectures, methodologies, and best practices
Stay current with AI/ML research and translate advancements into practical applications

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
Proven experience in machine learning, deep learning, or AI engineering
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face)
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to present technical concepts to non-technical stakeholders

Benefits

Comp & perks

Employee discounts
Health insurance
Paid time off
Dental insurance