DigitalGenius (DG) is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest E-Commerce customer service operations in the world as well as high-growth companies. We''re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence.

DigitalGenius (DG) is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest E-Commerce customer service operations in the world as well as high-growth companies. We''re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence.The continuous improvement of our products and the range of innovation projects we are committed to, require us to scale our Machine Learning team. We are searching for an MLOps Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives.As an MLOps Engineer, you will be responsible for designing, deploying, and maintaining scalable infrastructure and processes that support our AI systems in production. Your time will be divided between improving our ML infrastructure, building deployment and monitoring systems, and working closely with our ML engineers and product teams. This is an excellent opportunity for those with strong Engineering and DevOps capabilities and a deep interest in operationalising AI solutions. The AI team owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with best practices in production ML, developing and supporting scalable infrastructure, and enabling faster and safer experimentation and deployment.Continuous improvement of ML infrastructure and operationsTake ownership of the deployment and monitoring pipelines within your expertiseContribute to the ongoing innovation RandD projects by enabling production readinessMaintain and implement CI/CD pipelines, observability, and infrastructure for ML servicesDegree in relevant field with 3+ years of industry experienceStrong Technical Skills: Python, AWS, Docker, TerraformExperience deploying and maintaining machine learning models in production environmentsFamiliarity with MLOps best practices: versioning, monitoring, model registries, CI/CDCompetitive SalaryGenerous vacation time (25 days)Yearly DG Recharge Week in addition to annual leave allowanceOn going subscription to Mental Health Support PlatformWe are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Employment type

Full-time

Industries

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