Scientist 3, Data Science (Machine Learning Engineer)
Tasks
- Architect and manage async workflows and API driven systems
- Build interactive internal machine learning dashboards
- Build production grade machine learning services
- Design build and maintain end to end machine learning pipelines
- Develop internal analytical tools for decision making
- Implement observability and reliability guardrails
- Integrate machine learning solutions into production environments
- Monitor models and retrain models
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Spark | Asynchronous programming | CI/CD | Dagster | Data Visualization | Databricks | Docker | EDA | Experiment tracking | Infrastructure as Code | Integration Testing | Kubernetes | MLOps | Machine Learning | Model Deployment | Model versioning | Prefect | Python | RESTful APIs | SQL | Streamlit | Unit Testing | Version control | “as-code”
Education
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