ABOUT THE JOB As 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 YOU Experience 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. Understanding of social and ethical implications of software engineering (e.g., as described in the ACM Code of Ethics). Frontend experience in React or similar. Open-minded, inquisitive, and a life-long learner. Comfortable with ambiguity and highly autonomous. ABOUT OUR OFFER Working in the leading global tourism group: We stand for intercultural cooperation and offer the opportunity to work in international projects and teams. Fantastic holiday benefits including discounts and special offers. Mobile working, flexible working hours, and working from abroad: We believe that work is something you do, not where you go. Our offer: TUI Way of Working Health and Wellbeing support in five key areas: Health, Social, Community, Career, and Financial. Development and career opportunities: We offer a wide range of digital training and international career opportunities. Additional benefits relevant to the local market that you'll be based in. At TUI, we know people are as diverse as the destinations we send our customers to. We love to see your uniqueness shine through and inspire the future of travel.
If you have any questions, please contact the Recruiter for this role via the contact information included in the advert.
Please Note: These vacancies will be managed by an International Recruitment Team and therefore your application may be viewed by TUI colleagues outside your home country.
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