Sr Staff ML Forward Deployed Engineer, Enterprise Genai Software
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Sr Staff ML Forward Deployed Engineer, Enterprise GenaiOwn and scale enterprise GenAI features across Scale GP platformLocation: LondonJob Tags: SoftwareAbout The RoleSr Staff ML Forward Deployed Engineer, Enterprise GenAILondon, UKScale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.You will:Own large new areas within our productWork across backend, frontend, and interacting with LLMs
Requirements
and ML modelsDeliver experiments at a high velocity and level of quality to engage our customersWork across the entire product lifecycle from conceptualization through productionBe able, and willing, to multi-task and learn new technologies quicklyIdeally you’d have:7+ years of full-time engineering experience, post-graduationExperience scaling products at hyper growth startupsExperience tinkering with or productizing LLMs, vector databases, and the other latest AI technologiesProficient in Python or Javascript/Typescript, and SQLExperience with KubernetesExperience with major cloud providers (AWS, Azure, GCP)PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world’s
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