Data Scientist - Machine Learning
Tasks
- Build and improve data pipelines for machine learning workflows
- Build and maintain production machine learning models
- Collaborate with engineering and business stakeholders
- Contribute to AI and LLM capabilities where applicable
- Deploy and monitor machine learning models in production
- Document procedures and configuration changes
- Monitor and optimize model performance in production
- Perform exploratory data analysis and feature engineering
Perks/Benefits
- Flexible work environment
- In person international conferences
- International team collaboration
- Non technical training programs
- Remote-first organization
- Technical training programs
- Virtual conferences
Skills/Tech-stack
AI Agents | AWS SageMaker | Agile | Apache Airflow | Azure Machine Learning | Causal Inference | DBT | Data Pipelines | Experimentation | Feature Engineering | Git | LLMs | MLOps | MLflow | Machine Learning | Model Monitoring | Python | SQL | Snowflake | Vertex AI
Education
N/A
Roles
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