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.
