Head of Data & AI
Tasks
- Conduct fairness auditing
- Define AI direction and roadmap
- Define LLM strategy
- Define metrics and dashboards
- Deploy AI agents
- Design data platform architecture
- Drive AI governance bias detection
- Ensure ML service stability
- Establish MLOps and LLMOps best practices
- Establish engineering best practices
- Evaluate and integrate vector databases
- Implement rag pipelines
- Lead experimentation and validation
- Lead technology selection
- Manage real-time data streaming
- Mentor data teams
- Monitor drift and hallucinations
- Oversee ETL/ELT pipelines
- Own data analytics and quant strategy
- Own data quality monitoring and remediation
Perks/Benefits
- Language learning budget
- Medical insurance
- Paid sick leave
- Paid vacation
- Professional education budget
- Public holidays
- Remote work
- Wellness budget
Skills/Tech-stack
Apache Spark | Bias detection | CI/CD | ClickHouse | Data Contracts | Data Observability | Data Streaming | ELT | ETL | Explainability | Fairness testing | Gradient boosting | LIME | LLMOps | Learning operations | MLOps | Machine Learning | Machine Learning Operations | Model Monitoring | PGVector | Pinecone | Probability | Prompt engineering | PyTorch | Python | Quantitative modeling | RAG | Real Time | Real-Time Data Streaming | Real-time Data | Regression | SHAP | SQL | Scikit-learn | Semantic Search | Statistical Analysis | TensorFlow | Time Series | Vector Databases | Vector embeddings | Weaviate | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | Data Engineering | Data Science | Engineering | Head | Head of Data | Head of Data Engineering | Head of Data Science | Head of Data and AI
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