SAP Associate AI Developer 

Singapore, Singapore 

91963050

*SAP will be prioritizing candidates with full working rights in Singapore*

Key Responsibilities & Tasks will include:

• Responsible for the design, implementation and maintenance of modules or features of a application product. Works according to specifications and project plans.
• Be part of global IT business technology team and works on large, complex activities, using demonstrated creativity and expertise and applying specialist professional knowledge to deliver high quality results / technical solutions.
• Designs, implements and test complex AI-empowered systems to solve business challenges. Is familiar with a broad range of AI and Machine Learning techniques and is competent in all aspects of the system including model architecture, pipeline automation, metrics interpretation.
• Validate machine learning use cases through proof-of-concepts with Large Language Models in tantum with SAP AI Business Technology Platform
• Work with SAP Business Technology Platform for building backend services using SAP Cloud Application Programming (CAP) or Python-flask.
• Technology exploration for new AI and technology trends in-line with SAP’s overall Strategy direction
• Apply Software Development Life Cycle methodologies like Agile. Participate in development life cycle activities like design, coding, testing and production release.

Experience/Role Requirements

• Bachelor or master’s in computer science or related field
• 0 to 3 years of working experience in Software Engineering specialized in AI and Cloud Platforms
• Good knowledge on programming with languages like Python, Java or JavaScript, Node.js.
• Knowledge and exposure to LLM consumptions for Application development.
• Experience in natural language processing and Computer Vision techniques for information extraction from files.
• Good understanding of REST APIs and their development
• Knowledge of different databases (RDBMS, Key-Value, Documents)
• Experience with software engineering best practices such as version control (e.g. git), CI/CD (e.g. Jenkins), testing, security and documentation
• Exposure with prompt engineering and tuning techniques like chain-of-thoughts, RAG etc.
• Familiarity with programming frameworks such as LangChain, PyTorch and TensorFlow or similar
• System design skills for scalable, performant, and resilient AI-empowered and AI-enabling systems
• Experience with common approaches and technologies for software development such as cloud computing and cloud native technologies (Docker, Kubernetes, IaaS providers SAP/AWS/Azure/GCS)
• Ability to understand and transform prototypes into productive AI-empowered systems.
• Excellent written and communication skills in English language

We win with inclusion

Successful candidates might be required to undergo a background verification with an external vendor.

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