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We are a dynamic technology-driven organisation delivering innovative, value-focused IT and data solutions within a large-scale enterprise environment. Our culture is built on collaboration, innovation, respect, and maintaining a healthy balance between professional excellence and personal wellbeing.
We are looking for an Intermediate MLOps / Platform Engineer who is passionate about building scalable, reliable infrastructure and operational platforms that support modern machine learning environments. This role is ideal for someone who enjoys engineering robust systems, automating deployments, and improving platform reliability rather than focusing on machine learning research. You will play a key role in enabling Data Science teams to deploy and maintain production-ready solutions efficiently and securely.
Deploy, operationalise, and support machine learning models and analytical applications in production environmentsAutomate infrastructure provisioning and environment management using TerraformWork extensively with technologies such as Vertex AI, Cloud Run, and BigQueryBuild and maintain internal tooling to support Data Science and platform operations Monitor platform health, troubleshoot infrastructure issues, and ensure high system reliability and uptimeRequirements2-4 years’ experience in Software Engineering, MLOps, Platform Engineering, or Cloud InfrastructureStrong hands-on experience with Google Cloud Platform , particularly:Vertex AIBigQueryCloud RunPractical experience with:GitLab CI/CDHarnessTerraformStrong Python development skillsSolid SQL skills for data extraction and manipulationExperience supporting production-grade cloud applications and deploymentsKey Skills & CompetenciesHigh attention to detail and commitment to engineering best practicesAbility to work independently while collaborating effectively within a team environmentExposure to enterprise-scale AI and cloud platforms within a large-scale retail and technology environmentOpportunity to work with modern cloud-native technologies and observability toolingA collaborative, supportive, and innovation-driven culture
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