AI/ML Prototyping Developer

Mythics, LLC

AI/ML Prototyping Developer designing and developing AI-driven capabilities for federal programs. Collaborates on prototype development and integration within secure data pipelines.

Posted 4/22/2026full-time🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design, build, and test AI and machine learning prototypes to support mission‑focused use cases
Develop, train, evaluate, and optimize machine learning models across structured and unstructured datasets
Integrate AI/ML models into secure and scalable data processing pipelines
Support ingestion, processing, and analysis of multi‑modal datasets (e.g., text, images, structured data) to identify patterns, trends, and key values
Develop and customize AI agents tailored to defined use cases and regulatory constraints
Collaborate with data engineers, architects, and stakeholders to refine requirements and evolve AI use cases
Apply secure development practices and conduct code scanning and dependency analysis to support compliance requirements
Document model design, assumptions, limitations, and performance results to support technical reviews and audits

Requirements

What you’ll need

Clearance requirement: U.S. Citizenship required with the ability to obtain and maintain a Secret clearance
10 years of work experience
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent experience)
Minimum of 10 years of relevant professional experience.
Demonstrated experience developing and training machine learning or AI models
Hands‑on experience prototyping AI‑driven solutions in Python
Familiarity with version control and collaborative development using Git
Ability to work with SQL and relational or analytical data stores
Experience integrating AI/ML models into automated or semi‑automated pipelines
U.S. citizenship with the ability to obtain and maintain a Secret security clearance
Preferred Qualifications: Experience working with AI solutions in a regulated industry (e.g., DoD, Financial Services, healthcare, or other compliance‑driven environments)
Experience developing or customizing AI agents and agent‑based workflows
Familiarity with AutoML tools and automated model experimentation techniques
Exposure to model governance, explainability, and risk mitigation approaches

Benefits

Comp & perks

Comprehensive Health, Dental, and Vision plans
Premier 401k retirement plan with corporate matching and a 529 college saving plan
Tax-advantaged Health Savings Account and Dependent Care Flexible Spending Account options
Legal Resources
Generous work/life balance opportunities supported by a PTO bank, paid holidays, leave programs and additional flex time off
Employee referral program
Employee recognition, gift and reward program
Tuition reimbursement for continuing education
Remote or hybrid work options
Engaging company events such as team building activities, annual awards and kick-off parties
Employee Resource Groups such as our Values & Women’s Leadership Committees – Focusing on charitable and volunteering events to give back to our community, creating an inclusive environment for all, and fun employee activities
Health and wellness-focused activities
Relaxation Spaces
In-office gourmet coffee, tea, fresh fruit and healthy snacks
Corporate GREEN approach – tracking energy consumption for reduction and purchasing only environmentally friendly products for our offices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningAI modelsPythonSQLdata processing pipelinesAutoML toolsmodel governancecode scanningdependency analysisdata analysis

Soft Skills

collaborationcommunicationproblem-solvingdocumentationrequirements refinement

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in Engineering