Project description:
Make your application after reading the following skill and qualification requirements for this position.Function description:ML Engineers contribute to Machine Learning projects by:Working with the Data Scientists to define and develop the target solution with production constraints in mind. This allows to select the correct run infrastructure and serving model (e.g. data ingestion scheme, API synchronicity, ...) to address the business requirements (real-time responses, processing volumetry, ...)Contributing to the automation of the different elements of the ML pipeline in order to integrate and deploy them in the production environment (e.g. building Docker/VM images, prepare unitary, regression and integration tests, ...)Supporting Data Scientists on the usage of the existing industrial solutions available to build and monitor AI services (i.e. the CI/CD tools)Supporting IT Production on the parameterization of the target environment Ensuring that the model runs without errors, is retrained if needed (incl. xjsrcvq automatically) and is monitored both from the IT and the business perspective.Required experience / Knowledge:At least 4 years of relevant experience Technical experience:Mandatory:Containerization / VirtualizationAI platforms & IDEsCI/CD (Gitlab-ci)Code, model & data versioningPython advancedUsage of package management tools and experience in dependency managementPostgreSQLKnowledge of agile methodologyPreferable:Experience with integration using different technologies (distributes/mainframe) and infra componentsModel compression techniquesELT / ETL toolsBig data tools (Spark)Data flow processingData visualization tools Business experience: