Are you passionate about bringing the best of machine learning and DevOps together to create reliable, scalable, and efficient AI systems? Do you thrive on automating machine learning pipelines, deploying models at scale, and ensuring that AI solutions deliver value in production environments? If you’re excited about optimizing the entire machine learning lifecycle—from development to deployment and beyond—then our client has the perfect opportunity for you. We’re looking for an MLOps Engineer (aka The AI Infrastructure Maestro) to design, automate, and manage robust machine learning pipelines that power the next generation of AI-driven products.
As an MLOps Engineer at our client, you’ll be the glue that connects data scientists, machine learning engineers, and operations teams, ensuring that machine learning models are efficiently deployed, monitored, and maintained. You’ll lead efforts to create scalable infrastructure for AI, automate workflows, and develop tools that enable continuous integration and continuous delivery (CI/CD) of ML models.
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