MACHINE LEARNING ENGINEER / DATA ENGINEERAt 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.&##Ready to make an impact with data and machine learning?