SAP Associate AI Developer Document - Artificial Intelligence SAP Labs 

Canada, Quebec, Montreal 

18918145

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

Purpose and objectives

As an Associate AI Developer / AI Developer, you will work together with a team of dedicated experts including AI scientists, data engineers, 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.

What you'll do

Your tasks include:

• Build and maintain scalable data pipelines for machine learning workflows focused on document processing.
• Manage large-scale structured and unstructured data assets, ensuring quality and readiness for training.
• Develop tools for data annotation and synthetic data generation to support model development.
• Support model training, validation, and deployment for document classification, extraction, and layout analysis.
• Monitor and improve model performance through continuous evaluation and retraining.
• Automate ML and data workflows for efficiency and reliability in cloud environments.
• Translate business requirements into effective ML solutions with measurable outcomes.
• Collaborate with cross-functional teams and stakeholders to align data and model strategies.
• Ensure integration quality and operational readiness across global SAP environments.
• Quickly learn domain-specific document types and adapt to evolving AI technologies.

What you bring

Required

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related technical field.
• 0–3 years of experience in software development, preferably in AI or cloud-based applications.
• Solid understanding of computer science fundamentals, including algorithms, data structures, object-oriented design, and software architecture.
• Understanding of machine learning fundamentals, pipelines, and data lifecycle management.
• Practical experience with ML or data processing frameworks (e.g., PyTorch, Spark).
• Proficiency in at least two programming languages, preferably Python and Java.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Strong problem-solving mindset and motivation to deliver customer value.
• Excellent written and verbal communication skills in English.

Optional

• Hands-on scripting experience (e.g., bash).
• Skills in modern web development (JavaScript, HTML5, CSS)
• Operational familiarity with Linux systems (Red Hat, Ubuntu, etc.).
• Experience with cloud platforms such as SAP BTP, AWS, Azure, or GCP.
• Experience working in Agile/Scrum teams.

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