.Flexible- Lisbon, Portugal- Palma, Spain-- 124720-- Hybrid-- Permanent-- Full Time-- 37.5 - 40TUI Group is the world's number one integrated tourism business. Customer Hub & Common Analytics Domain is a global team within TUI technology responsible for Marketing & Technology Analytics. We are a multi-disciplinary team of experts across Architecture, Engineering, DevOps and Agile Delivery providing services across the UK, Ireland, Sweden, Norway, Denmark, Finland, Germany, Belgium and The Netherlands.- At TUI we are ambitious to become the leader in technology within the travel industry and to achieve this we are looking to build a capable,creative team who want to be a part of accomplishing that goal.- We never stop looking ahead,seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience.- The Machine Learn Engineer is responsible to Develop, implement, and maintain machine learning models and algorithm working closely with cross-functional teams to integrate machine learning solutions into production systems.**ABOUT THE JOB**- As a Machine Learning Operations Engineer your expertise will be pivotal in designing and implementing scalable infrastructure for deploying, monitoring, and managing machine learning models in production. Collaborate closely with data engineers and data scientists, contributing to the seamless streamlining of the deployment process.- Your role extends to implementing automated testing and continuous integration/delivery pipelines,ensuring the efficiency and reliability of machine learning models throughout their lifecycle.Uphold the highest standards of security and compliance in all aspects of machine learning systems.- As a trouble shooter extraordinaire, you will identify and resolve issues related to model deployment and performance, ensuring a robust and stable production environment. Collaboration with cross-functional teams is inherent in your role, aligning ML Ops processes with overall business goals for maximum impact.**ABOUT YOU**- Proficiency in scripting languages like Python or Bash.- Experience with containerization tools such as Docker and orchestration tools like Kubernetes.- Knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines.- Familiarity with cloud platforms (e.G., AWS, Azure, GCP) and their machine learning services.- Strong understanding of model monitoring, logging, and troubleshooting in a production environment.- Collaboration skills to work with data scientists,engineers,and other stakeholders.- Excellent communication skills and the ability to document processes.- Experience with model versioning and model registry tools.- Knowledge of MLOps tools such as MLflow or Kubeflow.- Understanding of security practices in machine learning deployment #J-18808-Ljbffr
