Sr. AI/ML Engineer III

Responsibilities

• Analyze complex datasets to assess performance and identify new patterns.
• Build, train, operationalize, optimize, 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 applications.
• Deploy and maintain AI/ML models through user stories and DevSecOps CI/CD pipelines.
• Design, develop, and deploy containerized AI/ML solutions in classified AWS cloud environments at IL6+.
• Support architectural leadership, technical support, and advisement for identity management system integration and security requirements.
• Provide security architecture subject matter expertise and support leadership engaging with senior executives at a public-facing federal agency.
• Assess program and system performance and automate or optimize manual processes using methods and algorithms.

Requirements

• At least 10 years of professional experience.
• Bachelor's degree or equivalent experience.
• Active TS/SCI CI clearance.
• Extensive experience using open-source models where possible, or analyzing and justifying the use of proprietary models.
• Expert experience with at least two of Generative AI/LLMs, NLP, RAG, and neural networks.
• At least 8 years of experience with at least two of Python, R, Anaconda, NumPy, TensorFlow, Keras, scikit-learn, and PostgreSQL.
• At least 8 years of experience designing, implementing, and maintaining data architecture and services for AI/ML.
• Expert experience designing, developing, and deploying AI/ML solutions into classified AWS cloud environments at IL6+.
• 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 and referral bonuses may be available.
• Applications are accepted on a rolling basis until the position is filled.