AI Engineer
Tasks
- Build LLM-powered applications
- Collaborate with data scientists on scalable products
- Deploy AI models to production
- Design and maintain data pipelines for reliability and performance
- Design end-to-end AI solutions
- Implement MLOps for monitoring and reproducibility
- Integrate agentic systems into business processes
- Optimize LLM evaluation and scaling
Perks/Benefits
- Daycare support for sick children
- Flexible-hybrid work
- Hobby clubs
- Mentoring
- Share option program
- Training
- Well-being support
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Computing | Continuous Deployment | Continuous integration | Data Pipelines | Docker | Fine Tuning | GCP | LLM Evaluation | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Python | RAG | Retrieval-Augmented Generation | Tokenization | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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