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Machine Learning Engineer

2 months ago

Singapur, Singapore SAP Full time
About the Role

SAP is seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science and technology focused team, you will play a critical role in delivering end-to-end AI solutions integrated in the processes of our customer support business.

Key Responsibilities
  • Assess requirements necessary for developing ML services in the Support Delivery domain.
  • Design and implement ML microservices and pipelines in production environment.
  • Continuously optimize live productive ML services with a focus on performance, quality, scalability, availability, and reliability.
  • Setup and maintain CI/CD pipelines for ML services.
  • Design and develop large scale training and deployment systems.
  • Translate latest research to productive models that can be applied in our support context.
  • Strive for automation and cloud operation readiness.
  • Improve quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.
  • Collaborate with data scientists and data engineers to deliver ML models in productive services.
Requirements
  • 0 - 3 Years of experience and a university degree in Data Science.
  • Strong practical Machine Learning.
  • Applied experience in python, Kubernetes.
  • Hands-on experience in PostgreSQL, Spark, Elasticsearch.
  • Familiar with modern DevOps methodologies.
  • Fluent in English, both verbal and written communication skills.
  • Creative thinking, willingness, and ability to learn quickly new concepts and technologies.
About SAP

SAP is a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.

We are proud to be an equal opportunity workplace and are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities.