Machine Learning Engineer (all genders)

HRS AS A COMPANY

HRS, the pioneer in business travel, aims to elevate every stay through innovative technology. Withover 50 years of experience, our digital platform, driven by ProcureTech, TravelTech, and FinTech,reinvents how companies and travelers Stay, Work, and Pay - cohesively brought together by ourLodging as a Service solution.
ProcureTech digitally revolutionizes lodging procurement, connecting corporations and suppliers in acutting-edge ecosystem.
TravelTech redefines the online lodging experience, offering personalized content from selection tocheck-in, ensuring an unparalleled journey for corporate travelers.
In FinTech, HRS introduces advancements like mobile banking and digital payments, turningcorporate back offices into touchless lodging enablers, eliminating legacy cost barriers.
Combining these technology propositions, HRS unlocks exponential catalyst effects. Our data-drivenfocus delivers value-added services and high-return network effects, creating substantial customervalue. Beyond cost savings in the global post-pandemic economy, HRS clients gain from anunrivaled focus on essential aspects including safety, security and satisfaction. HRS's exponentialgrowth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains.

BUSINESS UNIT

The HRS PAY business unit is hyper-focused on driving not only the HRS “flywheel” via the powerfulcombination of STAY and PAY, but also our own PAY flywheel whereby both corporate clients andthird-party partners benefit from leveraging HRS PAY’s technology and capabilities. The morecorporate clients use PAY, the more third-party partners such as banks, card issuers, ERPs, bookingplatforms and other financial service providers want to partner and collaborate with us, and thisdrives further commercial growth for PAY by monetizing those partnership streams. HRS PAY is a“tech fin” in that we provide the technology that powers the payment workflow as well as deliversthe highest level of available payment data to enable our customers to make intelligent decisionsaround their program spending. Only HRS PAY offers this powerful combination of automation, dataoptimization, and payment on-the-go technology all in one platform.

POSITION

We are looking for an excellent (Senior) Machine Learning Engineer, who will be responsible for building and maintaining the next generation of our ML Product. You will have the power to lead your initiatives geared toward making the ML Engineers and Applied Scientists at HRS Fintech more productive.

CHALLENGE

• Work with a wide range of systems, processes, and technologies to own and solve problems from end-to-end.
• Assist in building back-end infrastructure, data pipelines, and ML models for our products.
• Experiment with ML techniques to create and test new program features.
• Assist in extending and improving existing ML models.
• Work alongside data engineers to create data and model pipelines and embed AI and analytics into the business decision processes.
• Integrate ML models to end-users and run experiments.
• Run tests, perform statistical analysis, interpret test results, and perform tuning and scaling.

FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...

• Bachelor's degree or higher in computer science, mathematics, or a related field.
• Experience with DevOps, MLOps, or LLMOps tools and methodologies, such as Git, Docker, Kubernetes, Jenkins, Airflow, Kubeflow, etc.
• Proficiency in Python, SQL.
• Solid understanding of fundamental statistics, probability theory, and the scientific method.
• Experience in deploying machine learning models to production environments, including containerization (e.g., Docker) and orchestration tools (e.g., Kubeflow, MLflow), for batch and real-time inference.
• Strong software engineering principles, including modular code design, code optimization, and familiarity with software development best practices.
• Practical working experience with Azure cloud technologies (Azure AI) is a plus.
• Experience with MLOps to build production-ready pipelines.
• Strong English verbal and written communication skills, with a high level of comfort explaining complex technical topics to stakeholders.

PERSPECTIVE

Access to a global network of a globally united and mutually responsible “Tribe of Intrapreneurs” that is passionately dedicated to renew the travel industry and while doing so reinvent the ways how businesses stay, work and pay.

Our entrepreneurial driven environment of full ownership and execution focus offers you the playground to contribute to a greater mission, while growing personally and professionally throughout this unique journey. You will continuously learn from a radical culture of retrospectives and continuous improvement and actively contribute to making business life better, smarter and more sustainable.

LOCATION, MOBILITY, INCENTIVE

The attractive remuneration is in line with the market and, in addition to a fixed monthly salary, all necessary work equipment and mobility, will also include an annual or multi-year bonus.