<p>We are looking for a Lean Manufacturing Changeover Specialist to lead changeover improvement initiatives for a high-volume manufacturing platform. This role is responsible for identifying opportunities to reduce changeover time while maintaining food safety, quality, effectiveness, and employee safety standards. The role will partner with production teams, platform leadership, Food Safety & Quality (FSQ), engineering, and operations personnel to analyze current processes, implement improvements, and drive sustainable performance gains.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Analyze changeover processes and identify opportunities to reduce downtime while maintaining safety, quality, and operational effectiveness.</p><p>· Standardize changeover procedures, pre-changeover preparation activities, and best practices.</p><p>· Partner with team leads to optimize labor allocation, resource utilization, and execution efficiency.</p><p>· Coach teams to manage changeovers with the same discipline and urgency as production operations.</p><p>· Work closely with FSQ, operations, maintenance, and engineering teams to define cleaning requirements and reduce overcleaning.</p><p>· Develop and revise standard work instructions and task flows to improve changeover performance.</p><p>· Support risk assessments and ensure compliance with food safety, quality, and safety standards.</p><p>· Use Lean tools such as Value Stream Mapping, Process Mapping, 5 Whys, and Root Cause Analysis to identify and eliminate inefficiencies.</p><p>· Develop, execute, and evaluate changeover improvement experiments.</p><p>· Identify equipment, process, and tool enhancements that simplify cleaning and improve performance.</p><p>· Investigate and recommend capital improvement opportunities.</p><p>· Research internal and external best practices to improve changeover effectiveness.</p><p>· Apply creative problem-solving and innovative approaches to drive faster, safer, and more effective cleaning and changeover processes.</p>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>