AI/ML DevOps Engineer (2026-0064)
Tasks
- Apply machine learning to predictive analytics
- Automate workflows for advanced models
- Build and secure containers
- Collaborate with stakeholders for technical recommendations
- Create and improve continuous deployment in Kubernetes
- Develop CI/CD pipelines
- Develop and train large language models
- Develop technical project plans and reports
- Investigate business processes for LLM implementation
- Support systems integration and roadmap planning
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Bash | CI/CD | CSS | Container Security | Continuous Deployment | Deep learning | Docker | Eclipse | Elasticsearch | Flask | Git | GitHub | GitLab | HTML | IntelliJ | JUnit | Java | JavaScript | Jenkins | Keras | Kubernetes | Language Models | Large Language Models | Linux | Machine Learning | Mockito | NetBeans | Postman | PyTorch | Python | Source Control | Studio Code | Swagger | TensorFlow | Visual Studio | Visual Studio Code
Education
Roles
AI | AI/ML DevOps Engineer | DevOps Engineer | Engineer | ML DevOps Engineer
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