<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>$70-75/hr, available solely on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Remote</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
<p>We are looking for an experienced Engineering Manager to oversee and enhance engineering functions within a chemical manufacturing environment. This role is integral to ensuring operational excellence, compliance with safety standards, and the successful execution of capital projects. The position is based in Glen Rock, Pennsylvania, and offers an opportunity to lead a multidisciplinary team in driving innovation and reliability.</p><p><br></p><p>Responsibilities:</p><p>• Provide leadership and guidance to a team of engineers across multiple disciplines, fostering attention to detail and strong performance.</p><p>• Define engineering priorities, allocate resources effectively, and align team efforts with organizational safety, production, and capital objectives.</p><p>• Oversee the planning and execution of capital projects, including budgeting, scheduling, contractor management, and commissioning.</p><p>• Drive process improvement initiatives to enhance yield, throughput, energy efficiency, and cost-effectiveness.</p><p>• Ensure strict compliance with safety, environmental, and regulatory standards applicable to chemical manufacturing.</p><p>• Collaborate with operations and maintenance teams to improve equipment reliability, minimize downtime, and support continuous improvement.</p><p>• Lead risk assessments, process hazard analyses (PHAs), and incident investigations to enhance workplace safety.</p><p>• Review and approve technical designs, specifications, and other engineering documentation to ensure quality and accuracy.</p><p>• Manage the engineering department budget, including planning for capital expenditures and operational expenses.</p><p>• Contribute to long-term site strategies, including technology upgrades, facility expansions, and modernization efforts.</p>