AI Engineer - Categoria Protetta L.68/99
Tasks
- Design scalable machine learning solutions
- Develop AI solution concepts for clients
- Develop MLOps platforms
- Implement ML software functionality
- Implement machine learning models for production
- Implement observability for AI systems
- Industrialize ML pipelines for execution in production
- Prototype new AI solutions
- Research and technological scouting
- Support data architecture and AI best practices
Perks/Benefits
- Checkups
- Health insurance
- Meal tickets
- Parental support
- Psychological Wellbeing Platforms
- Remote work
- Training programs
- Welfare plan
- Work-life integration
Skills/Tech-stack
API | Amazon Web Services | Apache Spark | Cloud APIs | Data Exploration | Data Mining | Databricks | Deep learning | Generative AI | Git | Google Cloud | Hadoop | IBM Cloud | Kanban | Language Processing | Machine Learning | MapReduce | Microsoft Azure | Natural Language | Natural Language Processing | NoSQL | PySpark | Python | Relational databases | SQL | Scala | Scrum | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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