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Senior AI Test Systems Engineer
2 months ago
Position: Senior Test Systems Engineer - AI & Automation
Tulk LLC is a premier consulting firm specializing in technology and management solutions for the US Federal Government. Our dedicated team supports Defense and National Security sectors in acquiring, designing, and managing advanced technological systems to enhance their operational effectiveness. We provide a comprehensive benefits package, including health insurance, disability coverage, flexible working hours, performance bonuses, and retirement plans.
We seek candidates with diverse skills and interests to contribute to our mission. At Tulk LLC, we align our professionals with projects that match their expertise and career aspirations. If you are interested in the role outlined below, we invite you to consider this opportunity to advance your career with Tulk LLC.
Role Summary: Senior Test Systems Engineers (US Citizenship Required) will spearhead Application, System, and Integration Testing teams to guarantee precise and timely GEOINT across various agencies. Your primary responsibility will involve providing technical advisory support for AI Research and Development in Test and Evaluation (T&E) Automation and Verification of AI models, while identifying innovative tools and techniques to keep pace with the latest advancements in AI.
Key Responsibilities:
- Perform diagnostic assessments on AI/ML systems and applications, evaluate performance and efficiency, document findings, and provide recommendations.
- Establish and maintain a technical framework for executing system-level integration specifications.
- Prepare and deliver presentations at conferences, webinars, and online events.
- Develop methodologies for analyzing and assessing AI-related risks and impacts.
- Assist in requirements engineering, solutions engineering, scheduling, integration, testing, and evaluation across various agencies.
- Advise on design solutions based on requirements and emerging technologies for AI Assurance and Governance.
- Create descriptive, diagnostic, predictive, and prescriptive algorithms and translate them into development code.
- Conduct statistical analyses to inform decision-making processes.
- Implement governance processes for algorithms to ensure compliance with established standards.
- Document procedures, conduct testing, and monitor performance metrics.
- Rapidly iterate AI models to enhance accuracy and reliability.
- Define business processes and acceptance criteria for testing and evaluation.
- Author test planning documentation, execute test scenarios, and report potential issues.
- Develop deep learning frameworks, optimize models, and manage real-time streaming data.
- Create testing procedures for AI model verification and validation, collaborating with cross-functional teams for alignment.
- Evaluate acceptance criteria for the complete AI model architecture and provide feedback to development teams.
Required Qualifications:
- US Citizenship is mandatory.
- Top Secret SCI (TS/SCI) Security Clearance is required.
- Bachelor's degree or higher in Mathematics, Statistics, Computer Vision, Artificial Intelligence, Machine Learning, or a related STEM field, or equivalent expert-level experience as a Test Systems Engineer.
- Senior-level experience in scripting, statistics, and computer vision.
- Over 10 years of experience with tools and technologies such as JMeter, Jenkins, Docker, Postman, Swagger, Nexus, Apigee, GitHub/GitLab, Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, or AWS/C2S.
- Strong quantitative and qualitative analysis skills to support AI model assurance.
- Extensive experience with traditional, Agile, and DevOps development practices and associated testing strategies.
- Experience in Test Driven Development with programming languages such as Python, C++, Matlab, R, Java.
- Background in geospatial intelligence.
- Knowledge of AI Assurance, T&E or V&V-As-a-Service, and Explainable AI (XAI).
- Experience in quality engineering solutions utilizing Automation, Augmentation, and AI technologies.
- Proficient in coding and developing tests and evaluations for AI programs.
- Familiarity with the SAFe framework and Model-Based Systems Engineering.
Preferred Qualifications:
- Experience with Atlassian products like Confluence and JIRA.
- Familiarity with NGA Enterprise solutions, CI/CD pipelines, and DevSecOps.
- Experience engineering solutions using Cloud-based technologies.
- Involvement in internal and external program transitions and technical capabilities.
- Experience engineering solutions with structured and unstructured Big Data.
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