Related skills
aws tensorflow pytorch mlops data pipelines📋 Description
- Set technical direction and standards for ML projects
- Make architectural decisions for ML systems
- Review and approve technical designs
- Identify and address technical debt
- Champion best practices in ML engineering
- Troubleshoot complex technical challenges
🎯 Requirements
- Deep ML expertise across multiple domains
- Production ML: production-grade ML systems
- Design scalable ML architectures
- MLOps: ML infrastructure and operations
- LLM systems: experience with LLM-based apps and RAG
- Data pipelines and distributed systems design
🎁 Benefits
- Long-term B2B collaboration
- Fully remote setup
- A budget for medical insurance
- Paid sick leave, vacation, public holidays
- Learning support incl. unlimited AWS cert sponsorship
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