Senior AI DevOps Engineer
Tasks
- Apply engineering best practices and code quality
- Architect AI solutions
- Build and maintain APIs integrations and connectors
- Conduct testing, debugging, and performance optimization
- Coordinate development, testing, and deployment
- Develop AI-powered applications
- Develop and maintain AI platform
- Ensure scalability, reliability, and performance
- Implement and optimize AI models
- Implement governance data security and operational requirements
- Integrate cognitive services
- Perform DevOps activities
- Provide technical guidance mentorship
- Track risks dependencies and delivery timelines
- Troubleshoot issues with root cause analysis
- Use CI/CD for deployments
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AI Builder | AI Studio | API Development | AWS | AWS Bedrock | Amazon SageMaker | Azure | Azure AI | Azure AI Studio | Azure OpenAI | C++ | CI/CD | Cloud Governance | Cognitive Services | Data Preprocessing | Data sensitivity | Deep learning | Feature Engineering | GCP | Java | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Microsoft Copilot | Model Evaluation | NLP | Natural Language | Natural Language Processing | OCI | Power Apps | Power Automate | PyTorch | Python | RAG | Retrieve and Generate | Security | TensorFlow | Text Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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