Machine Learning/ Data Engineer

hace 2 semanas


VitoriaGasteiz, España TENDAM A tiempo completo

MACHINE LEARNING ENGINEER / DATA ENGINEER Si cree que es el candidato ideal para la siguiente oportunidad, envíe su solicitud después de leer la descripción completa. At Tendam, we are expanding our Data & Analytics team to tackle exciting challenges in the fashion retail industry. We’re looking for a Machine Learning Engineer who will bridge the gap between Data Scientists and Data Engineers, accelerate the ML project lifecycle, and maximize the use of our cloud infrastructure. #Design, build, and maintain scalable data & ML infrastructure to power data-driven decision-making (bash scripting and AWS SDK). ~#Design and build data models (SQL). ~#Act as a bridge between Data Scientists and Data Engineers, ensuring seamless model productionization. ~ Accelerate the machine learning project lifecycle through automation and best practices. ~ Maximize the use of existing cloud infrastructure (AWS, S3, Lambda, EMR, Glue, Athena). ~#Implement and productionize data processing scripts, ML models, visualization tools, and workflows. ~#Improve data reliability, governance, and quality. ~#Contribute to continuous improvement of data engineering and MLOps practices. ~#Hands-on experience with AWS Analytics Services (Lambda, S3, Glue, Athena, EMR). ~#Experience building and integrating data pipelines in cloud environments. ~#Programming skills in Python for ML. ~#Expertise in EMR and Spark for large-scale data processing. ~#Strong background in ETL and large-scale data processing. ~#Experience with CI/CD for ML (GitHub Actions, Jenkins, etc.). #Work with one of the largest customer data repositories in the industry: Put ML models into production with real business impact. ~#Collaborate with diverse teams of data scientists and engineers. ~#Help shape the future of our data & ML architecture. ~#Work with cutting-edge cloud and big data technologies. ~#Hybrid working model (office + remote). #Discounts across Tendam’s fashion brands. xcskxlj #Ready to make an impact with data and machine learning?


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