Vacancy expired!
Kubernetes/DevOps Engineer
Job Responsibilities:
? Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
? Work on a backlog of activities to raise MLOps maturity in the organization.
? Proactively introduce a modern, agile and automated approach to Data Science.
? Conduct internal training and presentations about MLOps tools' benefits and usage.
? Management and development of continuous integration and deployment
? Prototyping and developing cloud-native architecture solutions for application needs, particularly with AWS
? Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation
Requirements:
? Wide experience with Kubernetes and Docker is a must have
? Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, h2O etc).
? Good understanding of ML and AI concepts. Hands-on experience in ML model development
? Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
? Experience in CI/CD/CT pipelines implementation.
? Experience with AWS cloud platforms is a must have.
? Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation
? Experience with Data Science IDE tools like Jupyter Notebook and RStudio
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or
