We are looking for an experienced Quality Assurance Engineer to join our team in Philadelphia, Pennsylvania. This is a long-term contract position where you will play a key role in maintaining the highest standards of quality in our products and processes. The ideal candidate will have a strong background in quality assurance practices and be adept at implementing testing models to ensure product reliability and excellence.<br><br>Responsibilities:<br>• Conduct thorough inspections and quality assurance tests on raw materials, in-process materials, and finished products.<br>• Develop and implement stress testing models to evaluate product performance under various conditions.<br>• Perform manual and automated testing using tools such as Selenium to identify and resolve defects.<br>• Collaborate with cross-functional teams to ensure compliance with quality standards and guidelines.<br>• Document testing procedures, results, and findings for continuous improvement.<br>• Analyze quality assurance data to identify trends and recommend solutions for improvement.<br>• Follow established protocols and guidelines to ensure consistency and reliability in testing.<br>• Report findings and progress to supervisors or managers, ensuring transparency and accountability.<br>• Troubleshoot quality-related issues and provide actionable recommendations for resolution.<br>• Stay updated on industry best practices and integrate them into the testing process.
We are looking for a skilled and dedicated Cyber Security Engineer to join our team in Chesterbrook, Pennsylvania. This contract-to-permanent position involves overseeing information security governance, managing vendor relationships, and mitigating risks to ensure a secure and compliant environment. The ideal candidate will bring hands-on expertise in security practices, coupled with strong analytical and communication skills, to drive the implementation of robust security programs.<br><br>Responsibilities:<br>• Act as the primary liaison with offshore teams to ensure compliance with organizational security policies and standards.<br>• Monitor vendor performance against service level agreements and identify areas for improvement.<br>• Develop and enforce governance practices to align operations with security and compliance requirements.<br>• Collaborate with business units to ensure security measures are integrated into vendor projects.<br>• Conduct assessments to evaluate supplier compliance with confidentiality, integrity, and availability standards.<br>• Provide expert advice on information security, analyzing vulnerabilities and recommending remediation strategies.<br>• Draft and maintain organizational security policies and procedures, ensuring adherence to compliance standards.<br>• Prepare detailed reports on security governance and vulnerabilities for stakeholders and leadership teams.<br>• Facilitate regular risk assessments and vulnerability scans, ensuring timely resolution of findings.<br>• Support special projects and contribute to the continuous improvement of security practices.
<p>We are seeking a Machine Learning Engineer II to join a large-scale technology organization focused on building next‑generation AI/ ML capabilities across search, browse, personalization, voice, NLP, and advanced automation platforms. This global team focuses on developing cutting‑edge products leveraging large language models (LLMs), GPT‑based systems, and innovative AI-driven tools. This role sits within a group that partners closely with SDET and tooling teams to design, validate, and enhance ML models that support intelligent automation frameworks and high‑impact engineering initiatives.</p><p><br></p><p>As a Machine Learning Engineer II, you will:</p><ul><li>Design, build, and validate machine learning models used to support and enhance internal automation tools.</li><li>Develop ML models that assist in validating and improving tools created by engineering and tooling teams.</li><li>Enhance existing models to strengthen AI/ML automation initiatives -especially those involving speech, NLP, and voice-driven data.</li><li>Implement prompt-based interaction workflows with large language models.</li><li>Collaborate extensively with cross-functional engineering squads, SDET organizations, and automation tooling teams.</li><li>Support research and exploration of new ML models across multiple domains including NLP, Computer Vision, and emerging AI research areas.</li><li>Contribute to the development of automated frameworks and proof‑of‑concept AI/ML solutions.</li><li>Ensure high product quality and accuracy, particularly within LLM-based systems.</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Lead the design and development of scalable ML-driven systems that drive intelligent automation.</li><li>Own end-to-end workflows including data engineering, model development, training, evaluation, and deployment.</li><li>Integrate ML and NLP components into robust, high-performing software solutions.</li><li>Collaborate with engineering, SDET, product, and automation teams to align technical approaches with business goals.</li><li>Ensure reliability, model quality, and long-term maintainability of ML systems.</li><li>Mentor SDET teams on ML best practices, data workflows, and model evaluation techniques.</li><li>Explore emerging ML technologies and contribute findings toward future automation initiatives.</li></ul>