Engenheiro AI
Tasks
- Build and maintain data pipelines
- Create technical documentation and standards
- Design AI pipelines
- Develop, train, and deploy machine learning models
- Evaluate performance scalability and security risks
- Implement monitoring automation and lifecycle management
- Integrate AI into production systems
- Prototype solutions for client engagements
- Use cloud platforms to deploy and optimize AI systems
Perks/Benefits
- Career growth
- Continuous learning
- Flexible work hours
- Health insurance
- Meal allowance
- Remote-first work
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Data Modeling | Data Pipelines | Deep learning | Docker | GitLab CI | Google Cloud | Google Cloud Platform | GraphQL | Jenkins | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | NoSQL | Pandas | PyTorch | Python | REST API | SQL | Scikit-learn | Security | System Architecture | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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