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.
Senior MLOps Engineer – Scale ML on AWS | Terraform in Melbourne employer: Easygo
At Easygo's Family Office, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. With a strong focus on employee growth, our Tax Manager role offers unique opportunities for hands-on learning and direct involvement in high-net-worth structures, all while enjoying competitive pay, generous parental leave, and a vibrant office environment filled with perks like free coffee and regular events. Join us to be part of a team that values talent and resilience, ensuring your contributions are recognised and rewarded.
