Head of AI & Data Science
Tasks
- Build Text to SQL systems
- Create experimentation culture
- Define AI KPIs
- Define ai strategy
- Design and maintain AI agent architecture
- Develop AI vision
- Establish AI deployment best practices
- Establish evaluation loops
- Integrate AI agents into corporate systems
- Manage AI project lifecycle
- Mentor AI and data science team
- Monitor model performance
- Optimize data layers for analytics
- Prototype and deploy AI solutions
- Track model accuracy
- Translate AI metrics to business outcomes
Perks/Benefits
- Flexible work arrangements
- Health insurance
- Mental health support
- Paid vacation
- Personal development budget
- Public holidays
- Sick leave
- Team building events
Skills/Tech-stack
Agentic architecture | Analytics engineering | Artificial Intelligence | CRM systems | Classification | Clustering | Data Engineering | Data Modeling | Database Design | Language Models | Large Language Models | Machine Learning | Model Evaluation | Monitoring and observability | Python | RAG | Regression | SQL | Semantic layer | Slack | Tableau | Text-to-SQL
Education
N/A
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