Associate Ai Data Engineer

**We help the world run better**

**About SAP**

**About SAP Labs Singapore**

SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.

SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Intelligence Hub for SAP, leveraging on core competencies in the current teams.

**Your future team**

SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.

SAP Labs Singapore provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.

**Purpose and objectives**

As an Associate AI Data Engineer / AI Data Engineer, you will work together with a team of dedicated experts including AI scientists, AI Developers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.

Applicants with relevant experience may be considered for AI Developer role.

**Expectations and tasks**

Your tasks include:

- Push the frontiers of what is possible in the area of artificial intelligence and machine learning so as to create new solutions
- Explore, understand, and implement most recent technologies and approaches for data pipelines for data pre and post processing
- Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
- Supports machine learning research/project teams with all aspects around data
- Builds scalable and re-usable data processing pipelines
- Works on data generators in order to enrich our datasets
- Sets up and manages annotation projects with our annotation partner companies
- Works with domain experts and AI Scientists to define annotation guidelines and drive the annotation efforts towards high-quality data
- Coordinates & supports data auditing efforts
- Coordinates & supports data acquisition activities
- Integrates, validates, organizes, improves and curates datasets including metadata (e.g. data versioning, cleaning, storing, etc.)
- Ability to work in global teams with different time zones
- Immerse yourself quickly into new topics, terminology, and development tasks

**Educational and experience requirements**

**Required**
- Degree in Computer Science or related field
- A solid foundation in computer science, with strong competencies in algorithms, data structures, objects-oriented programming, design patterns, multi-threaded programming, and software design principles
- Hands-on knowledge in at least one of the server-side programming languages such as Java, Scala, Go, Python, C#, C++
- Exposure to Big Data technologies such as Hadoop, Spark and Kafka
- Fundamental knowledge of container technologies like docker, Kubernetes etc.
- Familiar with Agile/Scrum methodologies
- Strong desire to overcome obstacles and make your work benefit SAP's customers
- Excellent written and communication skills in English language

**Optional**
- Hands-on knowledge of the frameworks such as Spring, Play, AngularJS, Flask etc.
- Hands-on experience in Shell Scripting, PowerShell
- Operational knowledge of Linux distributions such as Redhat, Ubuntu, CentOS, CoreOS
- Exposure to deployment and container orchestration technologies such as Docker, Kubernetes, Puppet, Chef, Ansible
- Knowledge of Machine Learning fundamentals

Job Segment: Developer, Cloud Applications, Cloud Operations, Machine Learning, Artificial Intelligence, Data science development

**We build breakthroughs together**

**We win with inclusion**

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.

**EOE AA M/F/Vet/Disability**:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Requisition ID: 367470 | Work Area: