Oomnitza offers the industry’s most versatile Enterprise Technology Management platform that orchestrates and automates key business processes for IT. Our SaaS solution, with agentless integrations, best practices and low-code workflows, enables enterprises to leverage their existing infrastructure systems and automate processes such as offboarding, onboarding, audit readiness, refresh forecasting and more, thereby reducing reliance on error-prone manual tasks and tickets. We help some of the most well-known and innovative companies to improve efficiency, expedite audits, mitigate cyber risk and eliminate redundant IT spend.
Team Oomnitza are seeking an experienced AI & ML Site Reliability Engineer who is passionate about AI, machine learning, and data science to support our innovations in AI and Data product management. In this role, you will be responsible for architecting and maintaining infrastructure that supports machine learning (ML), artificial intelligence (AI), and data-driven solutions. You will help stand up the foundational systems that enable large-scale AI deployment, including developing and managing Oomnitza’s big data analytics platform, developing AI architecture, implementing vector databases, building knowledge graphs, and optimizing systems for ML model deployment and inference.You will collaborate closely with data scientists, infrastructure engineers, product management teams, and UX designers to ensure our customers realize meaningful business value by streamlining workflows, ensure scalability, and manage the complete lifecycle of AI systems from development to production.
Oomnitza recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.
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Oomnitza is the asset management solution built for the connected world. Oomnitza automates and manages the entire lifecycle of machines improving security, reducing manual tasks and providing higher quality data and reporting.
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