About the Role
The role involves designing, building, and deploying artificial intelligence and machine learning solutions to support mission-critical objectives. Engineers will work closely with technical teams to integrate AI capabilities into scalable platforms and deliver actionable insights from data.
Responsibilities
- Design and implement machine learning models for real-world applications
- Collaborate with data scientists and software developers on integrated solutions
- Optimize models for performance and scalability
- Evaluate model accuracy and reliability through rigorous testing
- Translate business requirements into technical AI strategies
- Work with large datasets to train and validate models
- Support deployment of AI systems in production environments
- Monitor system performance and implement improvements
- Ensure compliance with security and data handling standards
- Document technical processes and model architectures
- Stay current with advancements in AI and machine learning fields
- Apply ethical principles to AI development and deployment
- Support client engagements with technical expertise
- Troubleshoot issues in machine learning pipelines
- Integrate AI components with existing software platforms
- Use cloud-based infrastructure for model training and deployment
- Develop automated workflows for data preprocessing
- Contribute to research initiatives in artificial intelligence
- Present technical findings to technical and non-technical stakeholders
- Participate in agile development cycles
- Ensure reproducibility of machine learning experiments
- Apply natural language processing techniques where applicable
- Utilize version control for model and code management
- Support model explainability and transparency efforts
- Collaborate on cross-functional project teams
Nice to Have
- Master's degree in computer science, data science, or related field
- Experience with natural language processing applications
- Familiarity with computer vision techniques
- Knowledge of reinforcement learning
- Experience with distributed computing frameworks
- Background in statistical modeling
- Experience working on government or defense-related projects
- Security clearance or ability to obtain one
- Understanding of ethical AI frameworks
- Experience with model monitoring tools
- Knowledge of data labeling pipelines
- Familiarity with edge computing for AI
- Experience with model compression or optimization
- Participation in AI research publications
- Knowledge of regulatory compliance for AI systems
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work environment with remote and on-site options
Team
Collaborative team focused on advanced technology solutions for government clients
Clearance Requirement
Must be eligible to obtain and maintain a government security clearance
Work Location
Position based in the Washington, D.C. metropolitan area
Professional Development
Opportunities for continuing education and technical certifications
Project Focus
Work supports federal agency missions using advanced analytics and automation
Not available for this position
