Descripción de la oferta
Overview
As an ML Engineer in the Data Science team at eDO, you will design and deploy ML and AI solutions that power our proprietary platform. You’ll contribute to building and improving our internal AI platform and share knowledge to raise data-science practices across the organization. You will work with cross-functional teams to drive impactful, scalable AI initiatives in a hybrid Barcelona setting.
Compensaciones / Beneficioshybrid work modelPrime Plus membership and competitive salaryrelocation support and premium equipmentCoursera access and onboarding programinternal mobility and personalised career pathsequipment lifecycle program
ResponsabilidadesDesign and develop Machine Learning and AI solutions with the Data Science teamContribute to design and implementation of our internal AI platformStay up to date with advances in ML, AI, and MLOpsProvide training materials and communicate new developments to internal usersGuide and promote best practices across the data science organization
Requisitos principalesDegree in a quantitative field2+ years of experience as a Machine Learning or Software engineerProficiency in Python, Java, C++, or other OO languageUnderstanding of ML model lifecycle and MLOps basics (CI/CD, testing, monitoring)Experience with REST APIs and scalable systemsExperience with cloud platforms, distributed systems, DockerFamiliarity with SQL databasesEnglish communication skillsStrong communication and knowledge-sharingProactivity and ability to offer disruptive solutionsCuriosity and continuous learning mindsetPython, Java, or C++ML lifecycle and MLOpsCI/CD and Jenkins
