Head of Applied AI/Data (m/f/d)
Tasks
- Adopt generative AI and LLMs
- Build intelligent market assistants
- Build production ready RAG systems
- Create evaluation frameworks for LLMs
- Design optimization algorithms
- Develop NLP solutions for unstructured data
- Develop predictive models for market intelligence
- Implement agentic workflows
- Lead AI first trading platform transition
- Lead LLM roadmap and deployment
- Manage ML and data workflows to production
- Mentor data and AI engineers
- Oversee centralized data science analytics
- Perform anomaly detection
- Scale LLM features cost efficiently
- Translate trading requirements into technical solutions
- Unify distributed data talent
Perks/Benefits
- Annual leave
- Flat hierarchy
- Gym membership
- High autonomy
- Hybrid work flexibility
- Inclusive team
- L and D budget
- Language classes
- Transportation support
- Workation flexibility
Skills/Tech-stack
Agentic Workflows | Anomaly Detection | CI/CD | Experimental Design | Feature Engineering | Generative AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | NLP | Natural Language | Natural Language Processing | Optimization | Predictive Modeling | Prompt engineering | Retrieval-Augmented Generation | Vector Databases
Education
N/A
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