Data & ML Platform Engineer

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Description

Mission: As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers our data processing pipelines and machine learning workflows that support our data-driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering. What will be your responsibilities: Data and ML infrastructure: Design and implement scalable data and ML infrastructure using modern cloud and on-prem distributed technologies and frameworks. Data Pipeline Development: Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources. Database Management : Manage and optimize databases and data warehouses to ensure data integrity, performance and availability. Data Integration : Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis. Self-Service Tools : Develop self-service tools that enable stakeholders to extract insights from Data and Machine Learning models. Data & AI Platform development & expansion : support the expansion of our Data & AI Platform. Securi

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