Design scalable AI/ML platforms remotely from Kimberley with expertise in distributed systems and cloud computing. Build infrastructure supporting machine learning workflows.
This Senior Software Engineer joins the core AI/ML Platform team at a rapidly growing technology firm. The work covers backend development, MLOps pipelines, data processing, and APIs. You will collaborate with data scientists and engineers to create efficient machine learning development environments and foundational technologies for AI solutions.
Key Responsibilities
Design scalable and reliable AI/ML platform infrastructureOptimize MLOps pipelines for training, deployment, and monitoringBuild data ingestion, processing, and storage solutionsDevelop APIs and microservices for model integrationImplement CI/CD practices for machine learning workflowsRequirements:
Seven years of qualified software engineering experienceBackend development and large-scale distributed systems experienceProficiency in AWS, Azure, or GCPExpertise in Python, Java, or GoExperience with Kubeflow, MLflow, Docker, or KubernetesApply distributed systems, cloud, MLOps, and backend engineering expertise to advance a fully remote AI/ML platform.
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