We are looking for an Automation Engineer to support engineering leadership and drive operational excellence in Trumbauersville, Pennsylvania. This position focuses on guiding cross-functional engineering efforts, strengthening manufacturing processes, and ensuring projects move forward with technical rigor and clear communication. The ideal candidate brings strong experience in automated manufacturing environments and can align engineering priorities with production, quality, and customer expectations.<br><br>Responsibilities:<br>• Guide and develop manufacturing engineering staff, process specialists, and technical team members across product and process initiatives from concept through implementation.<br>• Hold regular coaching discussions to support employee development, address technical roadblocks, and strengthen overall team performance.<br>• Act as the key connection between engineering and partner departments by clearly communicating technical capabilities, limitations, and project needs.<br>• Evaluate process flows, production methods, tooling concepts, machine programming, validation strategies, and system-level engineering plans to ensure quality and feasibility.<br>• Coordinate with operations, quality, supply chain, sales, and customers to align schedules, manage competing priorities, and maintain project momentum.<br>• Address team and cross-functional challenges with a balanced approach that supports collaboration, accountability, and timely execution.<br>• Foster a high-performance engineering culture by setting expectations, encouraging continuous improvement, and reinforcing ownership of results.<br>• Support automation and manufacturing initiatives that improve efficiency, consistency, and overall production capability.
We are looking for a Machine Learning Engineer I (Contractor) to join a team building and improving intelligent software solutions. This Long-term Contract position is well suited for someone who enjoys working across model development, data engineering, and production deployment in a hands-on engineering environment. The role offers the opportunity to support both current applications and early-stage concepts by combining technical execution with careful analysis, testing, and documentation.<br><br>Responsibilities:<br>• Build, improve, and verify machine learning algorithms that support product and application objectives.<br>• Create and maintain end-to-end data workflows that handle ingestion, quality checks, cleansing, and ongoing monitoring.<br>• Train machine learning models, measure performance against validation criteria, and release models that meet requirements into production environments.<br>• Contribute to prototype development and exploratory initiatives that help shape future technical solutions.<br>• Prepare and update technical materials such as evaluation plans, reports, presentations, white papers, test summaries, manuals, and Confluence documentation.<br>• Execute testing activities, analyze outcomes, and document findings through case studies and structured reporting.<br>• Partner with engineering and cross-functional teams to translate technical requirements into practical machine learning solutions.