Software Engineer ML applications

As a Software Engineer specializing in ML applications, you will be responsible for leveraging your expertise in Ansible, Python, and Unix to develop and maintain efficient and scalable solutions. Your experience in roles such as Software Engineer, DevOps, SRE, or System Engineer in a Cloud environment will be crucial in ensuring the smooth operation of ML applications. Your practical working experience in AWS using Native Tools will be essential for the successful implementation of ML projects. Proficiency in container technology, including Docker and Kubernetes/EKS, will enable you to design robust and resilient ML solutions. Additionally, your programming skills in Go, Python, Typescript, and Bash will be valuable assets in crafting effective applications. Your familiarity with Infrastructure as Code tools such as Cloudformation, CDK, and Terraform will be vital in automating and managing the infrastructure required for ML applications. Experience with CI/CD tools like Jenkins, BitBucket, Bamboo CodeBuild, CodePipeline, Docker Registry, and ArgoCD will be necessary for implementing efficient deployment pipelines. An understanding of DevOps and SRE best practices, including Logging, Monitoring, and Security, will ensure that the ML applications you develop are reliable, secure, and performant. Strong communication skills will be essential for effectively conveying your ideas and collaborating with team members to achieve project goals.,