AI Engineer
Tasks
- Analyze source code repositories
- Build backend components for AI systems
- Build semantic search and automated documentation systems
- Create knowledge graphs from unstructured documents
- Deploy and maintain solutions in cloud environment
- Develop scalable AI systems
- Extract key information and relationships from documents
- Implement code quality and software engineering practices
- Implement training content generation rules
- Transform data science prototypes into production
Perks/Benefits
- Coaching
- Conference support
- Eye care
- Flexible work arrangements
- Full work equipment
- Integration budget
- Language classes
- Medical insurance
- Paid time off
- Professional training
- Psychotherapy
- Remote work
- Sports benefits
- Team building events
Skills/Tech-stack
AWS | Azure | CI/CD | Data Science | Docker | Document processing | Embeddings | FastAPI | GCP | Generative AI | Git | Intelligent Document Processing | Knowledge graphs | Language Models | Large Language Models | Machine Learning | NoSQL | OOP | Python | SQL | Semantic Search | Vector Databases
Education
N/A
Roles
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