Senior AI/ML Developer

This is a fully remote position, open to applicants in District of Columbia, +1 more state.

📋 Description

• Design and implement scalable AI/ML models that support the client's mission.

• Create predictive analytics, automation frameworks, and intelligent decision-support systems.

• Integrate AI solutions into secure enterprise and tactical environments.

• Ensure adherence to federal cybersecurity and data governance standards.

• Oversee data engineering pipelines and manage the model lifecycle (MLOps).

• Develop and uphold practices for model validation, explainability, and bias mitigation.

• Provide guidance to program leadership and stakeholders on emerging AI technologies and their mission applications.

• Assist in transitioning experimental or prototype AI capabilities into operational production systems.

• Incorporate security, ethical, and data governance requirements into AI development workflows, aligning with federal Risk Management Framework expectations.

• Evaluate AI security threats and generate ATO, configuration management, and incident response documentation.

• Collaborate with ISSOs, business owners, and stakeholders to implement secure AI solutions.

• Engage in audits, interviews, and governance reviews.

⛳️ Requirements

• Possess a Public Trust security clearance.

• Hold a Bachelor's degree or higher.

• Have 10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics fields, including practical experience with modern AI technologies.

• Demonstrate 5+ years of hands-on experience in designing, developing, and deploying AI/ML solutions in production settings, particularly with modern AI technologies and MLOps practices.

• Be proficient in Python, R, and/or Java.

• Have a deep understanding of TensorFlow or PyTorch, ideally applied within AWS SageMaker.

• Experience in integrating AI/ML capabilities into secure enterprise environments while adhering to cybersecurity, data governance, and compliance standards.

• Familiarity with developing AI products or functional prototypes utilizing Retrieval-Augmented Generation (RAG) and agentic AI technologies.

• Experience with AWS, Azure, or Google Cloud, including AI services like AWS Bedrock, Azure AI Foundry, or Google Vertex AI.

• Implemented AI solutions in secure, restricted, or regulated environments.

• Practical experience with agile development methodologies and JIRA.

• Strong communication skills, capable of presenting ideas to diverse audiences, both internally and externally.

• Experience in providing technical assistance and end-user troubleshooting for bug fixes, enhancements, and guidance.

• Ability to juggle multiple projects and engage with various business and technical stakeholders.

• Background in supporting enterprise-scale Salesforce solutions; experience with Agentforce implementation is highly preferred.

• Familiarity with AI governance practices and modernization initiatives.

• Experience collaborating with or supporting U.S. federal agencies.

• Experience deploying AI/ML solutions in AWS GovCloud or Azure Government.

• Knowledge of Zero Trust architectures and the integration of cybersecurity principles into AI/ML systems.

🏝️ Benefits

• Competitive compensation package.

• M9 Benefits (specific benefits can be found at M9 Benefits).