<p>We’re looking for a <strong>hands-on Network Infrastructure Manager</strong> who enjoys being deep in the tech while also leading and improving an enterprise network environment. This role is ideal for someone who can design, secure, and support enterprise infrastructure—not just oversee it.</p><p><br></p><p><strong>What you’ll do:</strong></p><ul><li>Own and actively manage <strong>firewalls, routing, switching, and network security</strong></li><li>Design, implement, and troubleshoot secure on‑prem and hybrid infrastructure</li><li>Lead network architecture decisions and drive security best practices</li><li>Respond to complex network and security incidents when they arise</li><li>Mentor team members while remaining highly technical day‑to‑day</li></ul><p><strong>What we’re looking for:</strong></p><ul><li>Strong experience with <strong>firewalls (Palo Alto, Fortinet, Cisco, etc.)</strong>, routing, and switching</li><li>Deep understanding of <strong>infrastructure security</strong> and network segmentation</li><li>Proven ability to stay <strong>hands-on</strong> while leading network operations</li><li>Experience in regulated or security‑focused environments a plus</li></ul><p><br></p>
<p>We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul><p><strong>What We’re Looking For</strong></p><ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul><p><br></p>