Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects.
Our client is one of the world's largest food and beverage companies. They are looking for MLOps who join their Data Science Hub Europe and will be part of a team dedicated to delivering efficient and high-quality data solutions. You will collaborate with data scientists, data analysts, and engineers to build, scale, and operate our machine learning & analytics platform.
Your skill, competence, and creativity will directly support and impact critical business decisions
in areas of supply chain and marketing.
Nice to have :
Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects.
Our client is one of the world's largest food and beverage companies. They are looking for MLOps who join their Data Science Hub Europe and will be part of a team dedicated to delivering efficient and high-quality data solutions. You will collaborate with data scientists, data analysts, and engineers to build, scale, and operate our machine learning & analytics platform.
Your skill, competence, and creativity will directly support and impact critical business decisions
in areas of supply chain and marketing.
Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure), Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI / CD and further industry best practices, Write well-designed, testable, efficient code, Work closely with engineering to continuously improve the way we consume data and deploy models in production, Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines, Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies] Requirements : Azure Cloud, Databricks, Python, SQL, Version control system, Testing, Continuous integration, DevOps, Data science, Kanban, User interface, Shiny, R, Communication skills