Machine Learning Engineer - AWS & Kubernetes

Essential Requirements :

- A Post Graduate or Graduate certificate with a specialization in computer science or other engineering programs

- Expert knowledge of containers and container management technologies like Docker, Kubernetes

- Experience in setting up EKS cluster

- Experience leveraging and managing CI/CD toolchain products like Jira, STASH, Git, and Jenkins.

- Expertise in using AWS and GCP cloud platforms

- Candidate should be senior to lead the team and provide solution design independently

- Candidates should be comfortable working with large datasets, analyzing them and proposing the best possible solution

Essential Requirements :

- A Post Graduate or Graduate certificate with a specialization in computer science or other engineering programs

- Expert knowledge of containers and container management technologies like Docker, Kubernetes

- Experience in setting up EKS cluster

- Experience leveraging and managing CI/CD toolchain products like Jira, STASH, Git, and Jenkins.

- Expertise in using AWS and GCP cloud platforms

- Candidate should be senior to lead the team and provide solution design independently

- Candidates should be comfortable working with large datasets, analyzing them and proposing the best possible solution

Must Have :

- Experienced in creating end-to-end data pipelines (migrate data from on source to destination)

- Experienced in developing end-to-end machine learning pipelines (including data cleaning, feature engineering, training and model deployments)

- Experienced with Amazon Sage maker

Nice to have : Familiarity or experience with Kubeflow pipelines