<p><strong>Machine Learning Engineer I (Contractor)</strong></p><p><strong>Employment Type:</strong> Contract</p><p><strong>Location: </strong>Hybrid/Onsite, Philadelphia, Reston, or Irvine, CA </p><p><strong>Job Category:</strong> Data Engineering / Machine Learning</p><p><strong>Long Term Contract </strong></p><p><strong>Overview</strong></p><p>We are seeking a <strong>Machine Learning Engineer I</strong> to support the development of data-driven products and solutions. This role is ideal for an early-career engineer with experience working with large datasets, building data pipelines, and supporting machine learning initiatives. You will partner closely with Data Scientists and Research teams to prepare, process, and deliver high-quality data that powers machine learning models and advanced analytics solutions.</p><p>This position focuses heavily on <strong>data engineering and pipeline development</strong> in support of machine learning workflows. Candidates with strong Python and Apache Spark experience and a passion for working with data are encouraged to apply.</p><p><strong>Key Responsibilities</strong></p><ul><li>Build, maintain, and optimize data pipelines for machine learning and analytics applications.</li><li>Ingest, validate, cleanse, transform, and monitor large datasets used for model training and production systems.</li><li>Support the implementation, refinement, validation, and deployment of machine learning algorithms and models.</li><li>Collaborate with Data Scientists and researchers to prepare data for machine learning model training and evaluation.</li><li>Assist with proof-of-concept initiatives and contribute to future product and application development efforts.</li><li>Test, evaluate, and document solutions, including results, recommendations, and technical findings.</li><li>Create and maintain technical documentation, requirements, evaluation plans, and project-related reports.</li><li>Help monitor model performance and support production machine learning environments.</li></ul><p><br></p>
We are looking for an Application Security Engineer to strengthen secure software delivery and partner closely with engineering teams in Reading, Pennsylvania. This role focuses on embedding security throughout the software lifecycle, from architecture and development through deployment and ongoing operations. The ideal candidate brings deep application security expertise, a collaborative mindset, and the ability to translate security requirements into practical engineering guidance.<br><br>Responsibilities:<br>• Partner with software engineering and cybersecurity teams to build security into application design, coding practices, release processes, and production support.<br>• Perform in-depth security evaluations through code analysis, threat modeling, penetration testing, and vulnerability assessments to uncover and prioritize risk.<br>• Establish and uphold secure development standards, reusable patterns, and technical guidance that improve consistency across teams.<br>• Administer and enhance security controls within CI/CD workflows, including code scanning, infrastructure-as-code checks, and container security tooling.<br>• Contribute to architecture assessments for cloud-based systems, microservices, and containerized applications to ensure resilient and secure designs.<br>• Evaluate application risks and support formal security reviews to guide mitigation planning and informed technical decisions.<br>• Verify that application security activities align with applicable compliance obligations and recognized industry frameworks.<br>• Create and deliver training sessions that help developers strengthen secure coding habits and increase security awareness.<br>• Track emerging attack techniques and threat intelligence, then apply those insights to improve preventive and detective controls.<br>• Support the monitoring, investigation, and remediation of application security issues, while coordinating effectively with external vendors and consultants as needed.
We are looking for an experienced DevOps Engineer to support a high-impact legal technology initiative within the real estate and property industry in Fort Washington, Pennsylvania. This Long-term Contract position is ideal for someone who can strengthen and refine deployment practices in a complex, code-driven environment while balancing speed, stability, and security. The role requires a hands-on, detail-oriented individual who can improve release processes, support scalable delivery, and apply strong judgment when working with sensitive legal data.<br><br>Responsibilities:<br>• Lead the review, redesign, and optimization of existing DevOps workflows to improve reliability, efficiency, and release quality.<br>• Manage deployment activities for a growing greenfield environment, including planning and executing rollback strategies as user adoption expands.<br>• Oversee release coordination and delivery practices to ensure controlled, consistent movement of code across environments.<br>• Administer and enhance DevOps operations within a Copado governance framework focused on legal business systems.<br>• Partner with development teams to support code-intensive builds and align DevOps practices with application delivery needs.<br>• Contribute expertise in MuleSoft-related development environments to support integration-aware deployment and release planning.<br>• Apply strong security principles to protect sensitive legal information throughout build, deployment, and release processes.<br>• Use tools such as Azure DevOps, Salesforce DevOps, and Copado to strengthen automation, governance, and deployment execution.
<p>We are looking for an experienced Lead Software Engineer to guide the design, enhancement, and support of warehouse management solutions. This role partners closely with operations, technology teams, and external partners to turn business goals into reliable system capabilities that improve warehouse performance. The ideal candidate brings deep Manhattan WMS expertise, strong technical leadership, and a practical understanding of supply chain processes in a production environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture, configuration, and ongoing support of Manhattan WMS solutions across core warehouse functions.</p><p>• Translate operational needs into business, functional, and technical documentation that supports development and delivery efforts.</p><p>• Work closely with warehouse stakeholders to define system changes that align application capabilities with day-to-day business processes.</p><p>• Build, maintain, and troubleshoot integrations between WMS, transportation platforms, enterprise applications, and related downstream systems.</p><p>• Create and enhance reports, queries, and data outputs to address reporting needs and support business decision-making.</p><p>• Investigate production issues, coordinate resolution activities across teams, and participate in rotating on-call support for continuous operations.</p><p>• Support application upgrades, implementations, and testing activities, including validation planning and execution.</p><p>• Collaborate with project managers, developers, vendors, and cross-functional teams to prioritize work, define schedules, and deliver solutions.</p><p>• Mentor entry-level team members, share system knowledge, and provide training on new features, enhancements, and software updates.</p><p>• Review development practices and recommend improvements that strengthen software quality, efficiency, and long-term supportability.</p>