<p><strong>Machine Learning Engineer II </strong>(Contract)</p><p><strong>Location: </strong>Hybrid – Philadelphia, PA <strong>or </strong>Washington, DC | Onsite 3–4 days per week</p><p><strong>Assignment Length:</strong> 38 Weeks, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Research / Machine Learning Engineer II</strong> to support advanced AI/ML initiatives across large-scale consumer-facing platforms, including Search, Browse, Personalization, Campaign Management, and Voice/NLP technologies. This role is heavily focused on <strong>model validation, quality, and automation</strong>, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.</p><p>The ideal candidate brings a strong quality mindset, hands-on experience with machine learning models, and a deep interest in testing and validating large language models (LLMs) and AI systems in production-like environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and enhance <strong>machine learning models primarily used for validation and quality assurance</strong> of AI/ML-driven tools.</li><li>Develop models that assist in testing, validating, and improving automation frameworks used by engineering and tooling teams.</li><li>Enhance and support existing AI/ML automation tools, including those working with <strong>speech and NLP data</strong>.</li><li>Implement <strong>prompt-based interactions with Large Language Models (LLMs)</strong> to support validation and test use cases.</li><li>Research, evaluate, and experiment with various ML models across multiple domains to determine best-fit solutions.</li><li>Contribute software development efforts toward <strong>proof-of-concept initiatives</strong> in AI/ML, NLP, and related strategic areas (e.g., Computer Vision where applicable).</li><li>Collaborate closely with cross-functional engineering, tooling, and SDET teams across multiple locations.</li><li>Support and mentor engineering teams by promoting modern software development, data practices, and quality-driven AI development.</li><li>Ensure AI/ML solutions meet expectations for <strong>performance, reliability, scalability, and product quality</strong>.</li></ul>
<p>We are looking for a skilled Quality Assurance Engineer to join our team in Philadelphia, Pennsylvania. This contract position offers the potential for a permanent role and involves ensuring the reliability and functionality of critical airport financial applications through a combination of manual and automated testing. The ideal candidate will thrive in structured, compliance-driven environments and possess strong testing, data validation, and defect management skills.</p><p><br></p><p>Responsibilities:</p><p>• Perform functional, regression, integration, and system testing to ensure application reliability.</p><p>• Develop and execute automated test scripts using tools such as Selenium, Cypress, or Protractor.</p><p>• Conduct backend data validation and integrity checks using Microsoft SQL Server.</p><p>• Identify, log, and track software defects with clear documentation using tools like Azure DevOps.</p><p>• Maintain and enhance automation test suites for both UI and API testing.</p><p>• Collaborate with development and business teams during Agile ceremonies, including stand-ups, sprint planning, and retrospectives.</p><p>• Support build and deployment cycles by validating releases and ensuring quality standards are met.</p><p>• Contribute to the creation of comprehensive test plans, strategies, and documentation.</p><p>• Ensure compliance with audit and traceability requirements within a regulated environment.</p>