- Provision and maintain Kubernetes clusters on Google Kubernetes Engine (GKE) for ML applications
- Build and maintain automated CI/CD/CT workflows using tools like Cloud Build, Container Registry, and Cloud Functions to compile code, run tests, and create containers
- Monitor infrastructure performance and resolve issues related to compute resources, model run failures, and access issues using tools like Cloud Monitoring, Cloud Logging, and Cloud Error Reporting
- Manage servers, storage, and networking in cloud and on-prem environments using infrastructure as code tools like Terraform, Ansible, and Cloud Deployment Manager
- Ensure security and compliance of the infrastructure and the applications using tools like Cloud IAM, Cloud Security Command Center, and Cloud Audit Logs
- Collaborate with data scientists and engineers to design, develop, and deploy ML applications using tools like TensorFlow, PyTorch, Scikit-learn, and Cloud AI Platform
- Support the development of Generative AI projects and products for the business.
- Bachelor's degree in Computer Science, Engineering, or related field
- 3+ years of experience in DevOps, cloud computing, or related field
- Experience in a health care-related field or working with health care data is preferred.
- Strong knowledge of GCP tools and technologies, especially related to ML applications
- Experience with Kubernetes, Docker, and container orchestration
- Experience with CI/CD/CT tools and best practices
- Experience with infrastructure as code tools and best practices
- Experience with monitoring and troubleshooting tools and best practices
- Experience with Python, Bash, or other scripting languages
- Experience with ML frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, etc.
- Experience with Generative AI tools and techniques like Cloud AutoML, Cloud Vision, and Cloud Text-to-Speech
- Excellent communication and collaboration skills
- Certification in GCP or other cloud platforms is a plus
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DevOps Engineer - Philadelphia, United States - Brooksource
Description
DevOps Engineer
Location: Philadelphia, Pennsylvania
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
A healthcare client of ours is seeking a talented and experienced DevOps Engineer to join their dynamic Data Science team. As a DevOps Engineer, you will play a crucial role in building and maintaining robust ML pipelines, ensuring seamless deployment of models into production environments and supporting Gen AI projects. Your expertise will contribute to the success of our data-driven initiatives.
Responsibilities
Qualifications
Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
