ABOUT THE JOBAs a Machine Learning Platform Engineer, you will be part of a cross-functional team that provides a Data Science platform for TUI Group to utilize. Being an enthusiast in cloud engineering and development, with a strong DevSecOps mindset, and thanks to your excellent collaboration skills, you will work with your team to deliver the best answers to our customers' needs and to take over full responsibility for its platform, from design to operation. You care diligently about the quality of your work, including proper documentation and security aspects.You will use your deep technical skills to build and run the Data Science platform as part of a team, enabling our business development teams to work more efficiently while incorporating your machine learning experience. You'll help other teams adopt your platform through direct engagement, ensuring operational readiness and observability of your platform and service. You will continuously improve CI/CD and automation maturity and efficiency, working hands-on to tackle the whole design, build, test, deploy cycle. You can verbalize your thoughts and ideas and take the initiative to translate them into outcomes. Together with the teams in the Domains, relevant Practice teams, and the Group Enabler teams, you will research, evaluate, and test new approaches, processes, and tools, helping teams use them effectively. You will demonstrate active contribution to Communities of Practice, collaborating in shared initiatives. You love to work in an international, multi-cultural team, challenging constructively and maintaining high expectations of yourself and others. You always drive for technical excellence, ownership, and self-organization at both team and personal levels. You love to learn, acquire new skills, and keep up to date with the latest developments in your focus areas. Security is part of everyone's job. At TUI, we practice secure behaviors first in everything we do.ABOUT YOUExperience working with highly available, distributed systems and services in a cloud environment, defining, developing, and rolling out technical operations processes and new services across teams and markets. Desire to build self-service capability for the platform consumers. Proven hands-on experience with Amazon Web Services (AWS) and in managing scaled cloud systems with a focus on solution architecture, using a range of tools and services, infrastructure-as-code, DevSecOps, and security engineering practices. Good experience with AWS Sagemaker, AWS Bedrock, and DataDog. Very knowledgeable with CI/CD, preferably Gitlab CI. Experience with the administration of Kubernetes is highly beneficial.Proven track record in Data Science projects as a Machine Learning Engineer. Customer-centric, passionate about delivering great digital products and services. Passionate about continuous improvement, collaboration, and great teams. Strong problem-solving skills coupled with good communication skills.
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