<p><strong>Technical Project Manager (Agile / Scrum) III – Contractor</strong></p><p><strong>Employment Type:</strong> 38 Week Contract, Potential Extension</p><p><strong>Location: </strong>Onsite Hybrid, Philadelphia, PA </p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Summary</strong></p><p>We are seeking an experienced <strong>Technical Project Manager (Agile/Scrum) III</strong> to lead the delivery of <strong>highly complex, enterprise-wide IT programs</strong> consisting of multiple interrelated projects. This role requires strong Agile leadership, deep program management expertise, and the ability to coordinate across technical and business stakeholders to deliver outcomes that align with strategic objectives.</p><p>e<strong>Key Responsibilities</strong></p><ul><li>Manage one or more <strong>highly complex or enterprise-wide IT programs</strong> comprised of multiple projects</li><li>Lead programs in an <strong>Agile environment</strong>, applying Scrum values, principles, and best practices</li><li>Coach and mentor individuals and teams on <strong>Agile processes, roles, and tools</strong></li><li>Provide regular <strong>status reporting</strong> on key performance indicators (KPIs), schedules, resources, milestones, and risks</li><li>Develop and maintain <strong>program strategies</strong>, supporting business cases, and enterprise-level project plans</li><li>Ensure effective <strong>integration across projects</strong>, adjusting scope, timelines, and budgets as business needs evolve</li><li>Enact and reinforce <strong>Scrum values and practices</strong>, ensuring correct and consistent use of Scrum frameworks</li><li>Communicate program strategy, progress, and changes to <strong>IT leadership, business stakeholders, and consulting partners</strong></li><li>Ensure all projects within the assigned portfolio are delivered <strong>on time, within budget, and aligned to strategic and business requirements</strong></li><li>Track critical project milestones and recommend adjustments or corrective actions to Project Managers as needed</li><li>Partner with senior business leaders to identify and prioritize opportunities to leverage technology in support of enterprise goals</li><li>Manage new <strong>technical service and engineering programs</strong> to meet broad service and product objectives</li><li>Establish milestones, monitor adherence to plans, identify delivery risks, and drive mitigation strategies</li><li>Coordinate work across multiple engineering and development teams</li><li>Act as a liaison between <strong>engineering and deployment teams</strong> to ensure requirements and design considerations support deployability and long-term sustainability</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>