Senior Machine Learning Operations Engineer (MLOps)
Easygo
Melbourne
1 week ago
Senior Machine Learning Operations Engineer (MLOps)
Senior Machine Learning Operations Engineer needed to lead ML infrastructure and automation solutions at Easygo. Requires 5+ years of experience in MLOps or related fields, expert proficiency in Terraform, and deep hands-on experience with AWS. The role involves designing and maintaining end-to-end ML pipelines, driving cloud infrastructure decisions, and mentoring junior team members.
On-site
Full-time
Senior
Terraform
AWS
Salary
Not specified
Core Qualifications
Technical (Must-have)
TerraformAWSAzureGCPCI/CDDockerKubernetesPython
Soft Skills
mentorshipcommunicationstakeholder management
Preferred Qualifications
Technical (Nice-to-have)
SparkHadoopiGaming
Key Responsibilities
- Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions.
- Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads using Terraform.
- Implement and maintain CI/CD pipelines for efficient model integration, deployment, and continuous delivery.
- Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance.
- Collaborate closely with data scientists and stakeholders to identify infrastructure needs and streamline workflows.
- Provide mentorship and technical guidance to junior MLOps engineers and data scientists.
MLOpsSenior EngineerAWSTerraformCI/CDDockerKubernetesPythonMelbourneFull-time