Machine Learning Engineer (AL-FNC250910 005/01)
Core
Design, build, and maintain scalable ML infrastructure and pipelines to enable the deployment of AI workloads.
Role type
Machine Learning Engineer (MLOps focus)
Builds
Scalable ML infrastructure, automated pipelines, and deployed AI models
Domain
Artificial Intelligence / Machine Learning Operations
Deliverable
infrastructure
Required skills
Linux, Python, Docker, Kubernetes, Kubeflow, MLflow, RunAI, end-to-end ML lifecycle management, automated testing and validation, model monitoring, model retraining strategies
Preferred skills
JavaScript or other scripting languages
Technologies
Kubeflow, MLflow, RunAI, Docker, Kubernetes
Responsibilities
Design and maintain scalable ML infrastructure; Automate setup and management of ML environments and pipelines; Ensure automated testing and validation of AI/ML models; Monitor model performance and health; Implement strategies for model retraining and updating
Seniority
Mid-level, hands-on IC
