<p><strong>Quality Assurance Analyst (SDET) III – Contract</strong></p><p><strong>Employment Type:</strong> 38 Week Contract, Potential for Extension</p><p><strong>Location:</strong> <em>Philadelphia, PA (Hybrid 4x onsite weekly) </em></p><p><strong>Pay: </strong>Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Quality Assurance Analyst (SDET) III</strong> to support automated testing, QA strategy, and high‑quality software delivery within a collaborative Agile environment. This role is ideal for a hands‑on QA professional with deep experience in test automation, Python scripting, Java QA, API testing, and continuous integration tools.</p><p><strong>Key Responsibilities</strong></p><ul><li>Establish testing milestones, monitor progress, identify delivery risks, and drive mitigation strategies.</li><li>Develop and execute test cases, use cases, and automated scripts using Python for Java middleware development.</li><li>Test RESTful services, JSON payloads, and APIs; work with tools such as Jenkins, Splunk, Swagger, and other CI/CD systems.</li><li>Define and execute business scenarios that align with real-world operational needs.</li><li>Track and report quality assurance metrics (defects, defect counts, test results, and overall test status).</li><li>Collect and analyze data to support software process improvements and incorporate enhancements into broader business workflows.</li><li>Create and execute formal test plans; perform test planning, test case writing, test automation, and manual/automated test execution.</li><li>Document defects, support troubleshooting, and assist in resolution efforts.</li><li>Provide training and act as an internal quality consultant for technical teams.</li><li>Conduct quality audits across IT teams to ensure adherence to established quality standards, processes, and methodologies.</li></ul>
<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>Job Summary</p><p>We are seeking a <strong>Machine Learning Engineer</strong> to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul><p><br></p>
<ul><li>Hydraulic filter application sizing and recommendations based on customer specifications. </li><li>Replacement MP Filtri products suggestions based on competitor’s information </li><li>Element interchange – discussion on filtration improvements. Changeover from older or discontinued media to modern, efficient media.</li><li>Adapt current stock to customer needs for quick turnaround time to delivery.</li><li>Ability to explain mechanical and electrical requirements for filtration accessories and products.</li><li>Review Quality issues on product failure and root cause analysis. Provide line of action to satisfy customer requests.</li><li>Assist with new product design and development products and systems for needs of team members and customers.</li><li>Assist team members and customers with application information.</li></ul>
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.
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
Manage drawings and models for MP Filtri must be eligible to work in the U.S.. Create drawings and models for products not currently completed Design custom tooling/modifications and machinery Work with key customers on engineering changes for MP Filtri Products/Create MP Filtri specific drawings of new and updated custom products. Provide support for customer service and regional sales team on hydraulic applications and technical Perform First Article inspections on new products. Enter new Item loads along with 2D and 3D CAD drawings Help to develop internal engineering processes and procedures in our new ERP D365 Perform testing and failure analysis of parts and prepare reports on findings in conjunction with quality team Organize and maintain all engineering resources, digital and hardcopy formats. Help drive continuous improvement in engineering, quality, and manufacturing areas.