Easygo is seeking a Senior Machine Learning Operations (MLOps) Engineer to enhance our ML operations and support various machine learning projects. You will design and maintain scalable AWS cloud infrastructure while collaborating with our Data Science team.
The ideal candidate has at least 5 years of experience in MLOps and proficient skills in Terraform, AWS, and CI/CD for machine learning workloads. Join us in our vibrant office in Melbourne and experience our engaging company culture.
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📌 Senior Mlops Engineer – Scale Ml On Aws Terraform Melbourne (Australia)
🏢 Easygo
📍 Australia
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