Software Engineer ML applications

As a Software Engineer specializing in ML applications, you will be responsible for developing and maintaining ML applications using your expertise in Ansible, Python, and Unix. Your experience as a Software Engineer, DevOps, SRE, or System Engineer in a Cloud environment will be invaluable in this role. Additionally, your practical working experience in AWS with Native Tools, along with your familiarity with container technology such as Docker and Kubernetes/EKS, will be essential for success. You should have a strong background in programming languages such as Go, Python, Typescript, and Bash, as well as experience working with Infrastructure as Code tools like Cloudformation, CDK, and Terraform. Familiarity with CI/CD tools like Jenkins, BitBucket, Bamboo CodeBuild, CodePipeline, Docker Registry, and ArgoCD will be beneficial. An understanding of DevOps/SRE Best Practices including Logging, Monitoring, and Security is crucial in order to ensure the reliability and security of ML applications. Your ability to communicate your ideas clearly and effectively will be key in collaborating with team members and stakeholders to drive the development and success of ML applications.,