A Data Engineering and MLOps role at Plato, focusing on building a real-time data platform for the wholesale industry. The role requires developing scalable data pipelines, managing ML infrastructure, and enabling automated customer onboarding and deployment processes.

Design and develop robust, scalable data pipelines that support machine learning models in production, with a focus on seamless integration of ML models into production environments. Implement comprehensive CI/CD workflows for data and ML processes, ensuring smooth transitions from development to deployment.

Demonstrate 3+ years of experience in data engineering or ML engineering, with strong proficiency in Python, PySpark, and data engineering tools. Possess hands-on experience with MLFlow, model serving technologies, and cloud platforms. Ability to collaborate effectively across data science, product, and engineering teams is crucial.

Join an innovative startup transforming the $48tn wholesale industry through data-driven solutions. Enjoy a dynamic work environment that values continuous improvement, offers opportunities for professional growth, and provides exposure to cutting-edge machine learning and data engineering technologies.

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