AI Engineer Google - Categoria Protetta L.68/99
Tasks
- Build MLOps platforms
- Collaborate with data scientists and data engineers
- Design scalable machine learning solutions
- Develop data architecture and AI best practices
- Implement machine learning models in production
- Implement observability for AI systems
- Research and prototype new AI solutions
- Support client solution development and business development
Perks/Benefits
- Health insurance
- Paid time off flexibility
- Parental support
- Remote work
- Ticket restaurant
- Training and development
- Welfare plan
- Work-life integration
Skills/Tech-stack
Azure DevOps | Cloud platform | Data Warehousing | Deep learning | ETL | GitHub | GitLab | Google Cloud | Google Cloud Platform | Hadoop | Hive | Java | Kafka | MLOps | Machine Learning | PyTorch | Python | SQL | Scala | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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