Software Engineers for Custom Object Training – Building the Engine and the Face of Custom AI, Lund
Core
Building the engine and user interface for a self-service platform that allows customers to train cameras to recognize specific objects.
Role type
Software Engineer (MLOps & Fullstack)
Builds
Automated self-service training pipelines, data orchestration services, and user-facing dashboards for AI analytics.
Domain
Computer Vision / AI Training / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, React, Cloud-native data storage, NoSQL databases, Data visualization, CI/CD, Test automation
Preferred skills
MLOps, Model accuracy validation, Agile development
Technologies
Python, React, Linux, Cloud data services, NoSQL
Responsibilities
Design and develop automated self-service training pipelines; Orchestrate data flows between cloud storage and processing services; Build quality gates to validate model accuracy; Build and customize user interfaces to visualize AI metrics; Design intuitive dashboards for accuracy, precision, and recall.
Seniority
Mid-level to Senior, hands-on IC
