Machine Learning Engineer

1 month ago

Ho Chi Minh, Vietnam HRS Group Full time
HRS AS A COMPANY

HRS reinvents how businesses WORK, STAY AND PAY. Counting more than 5.000 corporations and 40% of Fortune 500 companies in our customer base, HRS has emerged as the most trusted platform of digital software solutions in business travel hospitality worldwide.

The HRS platform is composed of three engines that each optimize one core building block along the corporate hospitality supply chain: Intelligent Procurement, Smart Booking, and Invisible Payment. Through the integration of those engines into one large data-driven platform approach, our Lodging-as-a-Service value proposition enhances the satisfaction of corporate employees and travelers, delivers the highest grade of process automation for corporate stakeholders, and ensures the strongest compliance end-to-end.

BUSINESS UNIT

HRS PAY is a “tech fin” in that we provide the technology that powers the payment workflow as well as delivers the highest level of available payment data to enable our customers to make intelligent decisions around their program spending. Only HRS PAY offers this powerful combination of automation, data optimization, 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 wid 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.

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