Senior Data Scientist AI/ML Platform Engineer, AI & Analytics
Instructure · Budapest, Hungary · Research & Development
About this role
Instructure is hiring a senior-level Data Engineer based in Budapest, Hungary. The posting calls out experience with AWS, Kubernetes, Docker, Serverless. Compensation is listed at HUF 1,800,000–HUF 2,200,000 per year.
- Role
- Data Engineer
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Budapest, Hungary
- Department
- Research & Development
- Posted
- Apr 27, 2026
More roles at Instructure
Job description
from Instructure careersAt Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:
About the Role
Instructure is building foundational AI and machine learning capabilities that will power the next generation of learning experiences across our product ecosystem. We are looking for a Senior AI/ML Platform Architect / Engineer to design and build the AWS-native infrastructure layer that enables data scientists, ML engineers, and applied AI teams to move from prototype to production safely, reliably, and at scale.
This is not a research role and not a traditional DevOps role. It is a hands-on systems architecture role for someone who understands cloud infrastructure, production reliability, and the unique needs of AI/ML workloads.
You will partner closely with data science, applied AI, backend engineering, platform engineering, and product teams to translate emerging AI/ML needs into scalable, modular, production-grade systems.
What You’ll Do
Design and build the AWS-native production infrastructure for AI/ML services, including deployment, observability, reliability, and operational readiness.
This is an excerpt. Read the full job description on Instructure careers →