AI Engineer III
Tasks
- Build cloud infrastructure to host and run AI and ML models
- Deploy and manage AI systems in production with monitoring incident response and cost management
- Design and implement data pipelines and evaluation pipelines
- Design tune and evaluate tools function calls and prompt templates
- Develop deploy and maintain production AI systems
- Develop numerical optimization forecasting computer vision and anomaly detection capabilities
- Develop user interfaces for AI workflows
- Ensure AI systems meet IT and security standards
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agent Frameworks | Anomaly Detection | Apache Spark | Azure | CI/CD | Cloud Computing | Computer Vision | Continuous Deployment | Continuous integration | Cost Management | Data Analysis | Database Design | Databricks | Forecasting | GitHub | GitLab | IaaS | Incident Response | Language Models | Large Language Models | Machine Learning | Monitoring | Numerical Optimization | PaaS | Prompt engineering | Python | R | Relational Database | Relational Database Design | Retrieval | SDK development | SQL | Snowflake | Terraform | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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