Sr. AI/ML Engineer III

Responsibilities

• Analyze complex datasets to assess performance and identify new patterns.
• Build, train, operationalize, and maintain AI/ML models in production.
• Apply machine learning techniques to immigration-related datasets.
• Present analytical results to diverse audiences through presentations or reports.
• Design, implement, and maintain data architecture and services for AI/ML systems.
• Deploy and maintain AI/ML models through user stories and DevSecOps CI/CD pipelines, including optimization and evaluation of alternatives.
• Design, develop, and deploy AI/ML solutions in classified AWS cloud environments at IL6+.
• Design, develop, and deploy containerized AI/ML solutions.
• Provide architectural leadership, technical support, and advisement for identity-management system integration and security requirements.
• Provide security architecture subject matter expertise and support senior-level engagement with a public-facing federal agency.

Requirements

• At least 10 years of experience.
• Bachelor's degree or equivalent experience.
• Active TS/SCI CI clearance.
• Extensive experience using open-source models or providing comparable analysis and justification for proprietary models.
• Expert experience with at least two of Generative AI/LLMs, NLP, RAG, and neural networks.
• At least eight years of experience with at least two of Python, R, Anaconda, NumPy, TensorFlow, Keras, scikit-learn, and PostgreSQL.
• At least eight years of experience designing, implementing, and maintaining AI/ML data architecture and services.
• Expert experience designing, developing, and deploying AI/ML solutions into classified AWS cloud environments at IL6+.
• Ability to perform program- or system-related data analytics and automate or optimize manual processes.
• Strong experience designing, developing, and deploying containerized AI/ML solutions.
• Ability to work onsite five days per week for the duration of the role.

Benefits

• Health, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Paid time off and holidays.
• Parental leave and dependent care.
• Flexible work arrangements.
• Professional development opportunities, including company-paid training and certifications.
• Employee assistance and wellness programs.
• Performance-based bonuses, referral bonuses, and potential additional incentives.