<div class="content-intro"><p><span class="acronym-highlight">OPSWAT</span>, a global leader in IT, <span class="acronym-highlight">OT</span>, and <span class="acronym-highlight">ICS</span> critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.</p></div><p><span data-contrast="auto">OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.</span><span data-ccp-props="{}"> </span></p> <p><strong><span data-contrast="auto">What You Will Be Doing</span></strong><span data-ccp-props="{}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="0" data-aria-level="1"><span data-contrast="auto">Turn detection problems into well-posed ML problems with a clear hypothesis, baseline, and success criteria</span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Build, label, and version the datasets used for training and evaluation</span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Design, train, and tune models; analyze their errors and feed the findings back into data, features, or architecture</span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Define evaluation protocols: metrics, splits, held-out test sets, and thresholds tied to product constraints such as false-positive rate and latency</span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Take models from experiment to production on AWS together with MLOps and software engineers, including packaging and inference optimization</span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Monitor deployed models for drift and drive retraining when needed</span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Keep experiments reproducible and documented, and present results and trade-offs to engineering and product</span><span data-ccp-props="{}"> </span></li> </ul> <p><strong><span data-contrast="auto">What We Need From You</span></strong><span data-ccp-props="{}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="0" data-aria-level="1"><span data-contrast="auto">3+ years of hands-on experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist, with models delivered to production</span><span data-ccp-props="