Ml Ops Engineer

Join to apply for the ML Ops Engineer role at Intuition Machines4 weeks ago Be among the first 25 applicantsJoin to apply for the ML Ops Engineer role at Intuition MachinesIntuition Machines uses AI / ML to build enterprise security products.

We apply our research to systems that serve hundreds of millions of people daily, with a team distributed around the world.

You are probably familiar with our best-known product, the hCaptcha security suite.

Our approach is simple : low overhead, small teams, and rapid iteration.If you enjoy working at scale on both architecture and data, engineering our ML backend systems may be your ideal job.

Our approach is simple : light specs, small teams, and rapid iteration; all done remotely with a team distributed around the world.What will you do : Optimize and maintain high-reliability systems and pipelines that scale to millions of RPS on large volumes of dataTake care of aspects such as observability, automation, reliability, scalability, continuous integration, and security—across multiple business domains, in a platform-oriented wayWork with other ML developers from multiple teams to integrate their work within our infrastructureParticipate in code reviews, take part in architecture and design sessionsProactively watch for recent developments in relevant technologies and assess their applicabilityHelp maintain, extend, and improve existing data / ML workflows and implement new ones to handle high-volume data flowsReduce time-to-deployment for dashboards and ML modelsWhat we are looking for : 4+ years of professional experience building and maintaining large-scale production systems with a focus on performance, scalability, and reliabilitySignificant experience coding and developing in PythonA person who enjoys improving existing code and infrastructureExperience with orchestration platforms : Kubernetes, containerization, and microservice design; event-driven model for workflow orchestration, monorepo-scale CI / CD, and testingExperience with database systems (SQL, NoSQL), distributed systems and architectures, and stream processing (preferably ClickHouse and Redpanda)Familiarity with machine learning fundamentals such as data preparation, model training, model evaluation, and model inferenceFocus on clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end testsBachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experienceNice to Have : Professional experience with programming languages like C++, Rust, or GoCollege-level mathematical knowledge (linear algebra, probability theory, statistics, matrix calculus)Practical experience applying ML concepts such as optimization, classification, regression, and generalizationWhat we offer : Fully remote position with flexible working hoursAn inspiring team of colleagues spread all over the worldPleasant, modern development and deployment workflows : ship early, ship oftenHigh impact : lots of users, happy customers, high growth, and cutting edge R&DFlat organization, direct interaction with customer teamsWe celebrate diversity and are committed to creating an inclusive environment for all members of our team.

Join us as we transform cyber security, user privacy, and machine learning online!

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