Head of Applied AI (m/f/d)
Tasks
- Adopt large language models and generative AI
- Automate trade summarization
- Build Retrieval Augmented Generation systems
- Build agentic workflows
- Build intelligent market assistants
- Centralize data science across ecosystem
- Create AI features for productization
- Develop and deploy LLM-powered features
- Develop natural language processing solutions for unstructured data
- Develop predictive machine learning models
- Ensure model validation and experimental design
- Evaluate and improve LLM performance
- Explore vector retrieval for domain knowledge
- Implement anomaly detection and optimization algorithms
- Lead AI first transition for trading platform
- Lead MLOps for model lifecycle
- Mentor ML and data teams
- Prototype using latest AI research
- Unify data and AI team
Perks/Benefits
- Annual leave
- Gym membership support
- High autonomy work culture
- Hybrid work flexibility
- L and D budget
- Paid language classes
- Transportation support
- Workation flexibility
Skills/Tech-stack
Agentic Workflows | CI/CD | Feature Engineering | Generative AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Machine learning monitoring | Model Evaluation | NLP | Natural Language | Natural Language Processing | Prompt engineering | Retrieval-Augmented Generation | Vector Databases
Education
N/A
Roles
AI | Data Science | Director | Director of Data | Director of Data Science | Head | Head of Applied AI
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