AI / ML Prototyping Developer

Mythics, LLC

1d•Hybrid

About The Position

The AI / ML Prototyping Developer will design, develop, and test AI‑driven capabilities in support of a federal program. This role focuses on rapidly prototyping machine learning and artificial intelligence solutions, integrating models into secure data pipelines, and refining use cases in collaboration with technical and mission stakeholders. The ideal candidate has hands‑on experience working with multi‑modal data, developing custom AI agents, and operating in regulated environments such as the Department of Defense (DoD) or Financial Services.

Requirements

U.S. Citizenship required with the ability to obtain and maintain a Secret clearance
Minimum of 10 years of relevant professional experience
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent 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
Machine Learning and Artificial Intelligence model development and training
Developing and testing AI agents and agent‑based systems
AutoML analysis and model comparison techniques
Working with multi‑modal datasets to extract insights and patterns
Python for AI/ML development and data processing
Hugging Face libraries and models for NLP and multi‑modal use cases
Git for source control and collaborative development
SQL for data querying and analysis
Application and code security tools such as: OWASP ZAP, Bandit, Semgrep
Dependency scanning and analysis tools
Ability to rapidly prototype and iterate on AI/ML solutions
Strong analytical and problem‑solving skills
Ability to communicate technical concepts clearly to both technical and non‑technical stakeholders
Ability to follow secure coding, data handling, and compliance standards in a federal environment

Nice To Haves

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

Responsibilities

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

Benefits

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