AI Engineer
Tasks
- Build AI ML models to production
- Collaborate with data scientists cloud engineers developers
- Deploy and scale AI solutions
- Develop MLOps pipelines
- Implement ML and GenAI solutions
- Integrate data science workflows
- Productionalize optimization models
Perks/Benefits
- Bike or commuting support
- Flexible work hours
- Gym access
- Internet reimbursement
- Lease budget
- Mobile reimbursement
- Paid time off
- Part-time option
- Pension plan
- Remote work option
- Sabbatical options
- Training budget
- Wellness leave
Skills/Tech-stack
AWS Cloud | AWS Cloud Development Kit | AWS cloud development | Amazon Web Services | Azure | Azure Machine Learning | Bicep | CI/CD | Cloud Development Kit | Cloud platform | Docker | Generative AI | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Python | Terraform | Web Services | “as-code”
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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