Senior Machine Learning Platform Engineer
3 semanas atrás
TUI Group is the world's number one integrated tourism business. Customer Hub & Common Analytics is a global team within TUI technology responsible for the group wide analytics platforms. 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're 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 Learning Platform Engineer is a practitioner and an advocate of state-of-the-art cloud engineering practices, with a strong DevSecOps… mindset, great machine learning knowledge, able to tackle the whole software development cycle of designing, building, testing and deploying applications. Working in an agile environment and keeping up with the ever-evolving technical landscape the Machine Learning Platform Engineer is a lifelong learner and likes to think outside the box.
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 utlise. 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. You will use expertise in developing and operating technical platforms to enable our business development teams to work more efficiently, while at the same time including your machine learning experience.
• You'll help other teams adopt your platform through direct engagement. You care for operational readiness, ensure observability of your platform and service.
• You will continuously improve CI/CD and automation maturity and efficiency. You work hands-on, and are able to tackle the whole design, build, test, deploy cycle.
• You are able to verbalise your thoughts and ideas and take the initiative to translate ideas into outcomes. Together with the teams in the Domains, relevant Practice teams as well as the Group Enabler teams you also will research, evaluate and test new approaches, processes and tools and help teams to use them effectively.
• You are demonstrating active contribution to Communities of Practice, including collaboration in shared initiatives.
• You love to work in an international, multi-cultural team. You challenge constructively and have high expectations of yourself and others. You always drive for technical excellence, ownership and self-organisation at team and personal level. You love to learn and acquire new skills and keep up to date with latest developments in your focus areas.
• Security is part of everyone's job. At TUI, we practise secure behaviours first in everything we do.
ABOUT YOU
• Experience working with highly available, distributed systems and services in a cloud environment and 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 of high benefit
• 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. like described in the ACM Code of Ethics)
• Frontend experience in React or similar
• Open minded, inquisitive, life-long learner
• Comfortable with ambiguity, 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, 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 would like to read more about what Diversity & Inclusion means to us simply visit our Smile page Click here
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.
#TUIJobs
Company:TUI Group
Qualifications:Language requirements:Specific requirements:Educational level:Level of experience (years):Senior (5+ years of experience)
Tagged as: Industry, Machine Learning, NLP, Portugal
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