Job Description
Work on the Research and Development team to create and expand Aibidia's range of solutions. Play a pivotal role in delivering an exceptional product to clients such as Nokia, Dyson, Bridgestone, and Olympus. Design, build, and maintain end-to-end machine learning pipelines from data ingestion to deployment and performance monitoring. Automate ML workflows including model training, testing, and deployment using CI/CD best practices. Manage and optimize infrastructure for model serving using containerization (Docker), orchestration (Kubernetes), and Infrastructure-as-Code tools (e.g., Terraform) across cloud environments. Implement monitoring systems for model performance, including accuracy, latency, data drift, and degradation detection. Collaborate with data scientists to transition research prototypes into scalable production-ready services. Lead model lifecycle management practices including retraining, rollback strategies, A/B testing, and shadow deployments.
About Aibidia
Aibidia, founded in 2018, provides the technology that enables multinational enterprises to make more considered transfer pricing decisions.