Related skills
python machine learning ai mlops rag📋 Description
- Build Agentic Systems: design multi-step AI agents for investigations.
- Develop Platform Infrastructure: scalable agent platform with enterprise data.
- Architect Evaluation Frameworks: benchmarks to test LLMs and edge cases.
- Provide Strategic Leadership: drive AI roadmap and MLOps decisions.
🎯 Requirements
- Experienced Builder: 5+ yrs software/ML, 2+ yrs production AI.
- Agentic Architecture Expert: applied AI with pre-trained models, RAG, fine-tuning.
- Engineering & MLOps Pragmatist: Python, best practices; track LLM metrics.
- Proactive Leader: self-starter, mentors, scales systems.
- Educated: Master’s in STEM or equivalent.
- Bonus: strong ML foundation; pragmatic tool choices.
🎁 Benefits
- Amsterdam office-based; in-person collaboration.
- Hiring process: respond within 5 days; ~4 weeks interview.
- Inclusive culture; DEI commitments.
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