ML Cloud Engineer

ML Cloud EngineerDescription -Job Description SummaryIn the GMT Analytics organization our mission is to deliver impact by building machine learning products to optimize pricing and marketing investments and provide guidance to HP's commercial sales organizations. Our team consists of a diverse global team of economists, statisticians, data scientists, data engineers, software engineers, DevOps, and MLOps engineers, who are pushing the innovation frontier to bring new insights to our business.Working with us you will combine your Data Science ML modelling skills with Software Development best practices to deliver ML models to a production environment at scale.About YouCuriosity, explore new topicsRigorous, synthetic, methodicalSelf-starter with intellectual curiosityTeam lead with a balance profile between Computer Science and Cloud EngineeringKey ResponsibilitiesArchitects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning modelsKeeps knowledge and skills current by reading state of the art research papers and blog posts from industry and research labs. Studies new methods to understanding industry trends and emerging technologies. Disseminates this knowledge within teams and across teamsDeploys and maintains models. Directs technical teams in achieving these objectivesFluent in one or more Machine Learning Frameworks (e.g. Pytorch, TensorFlow, scikit-learn, etc..)Fluent in Python and knowledge of one or more additional Programming Languages, such as R, C++Knowledge of modern computer science and engineering principles including algorithms, data structures, software architecture and designKnowledge of cloud and hybrid cloud service architectures and their impacts on development and deployment, i.e. AWS/Docker/K8sKnowledge in CI/CD pipelines, i.e., GitHub actions, and GitHub workflowsAble to architect new solutions that combine services, data preparation and preprocessing, machine learning models and data presentationDocument & Help other team apply best practicesScope & ImpactWorks with tech leads and product and program managers to understand the business problemWorks with software engineers to understand systems and craft interfaces to model for deploymentValidates and optimizes machine learning models, possibly utilizing new model architectures, optimization techniques or objective functionsInteracts with teams collecting data to assist in defining collection protocols and assure data qualityAbility to work independently under a fast-paced environment and deliver results under pressureAdvanced verbal and written communication skillsEducation and Experience:Master degree in Computer Science or equivalent, demonstrated through work experience, journal and/or conference publications or open-source projects5+ years of relevant experience in software development, design and fundamentalsSales and Services entityJob -SoftwareSchedule -Full timeShift -No shift premium (Spain)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.