MLOPS Senior Lead Engineer
Tasks
- Build Python API services
- Build machine learning pipelines
- Containerize applications
- Develop REST APIs for data and services
- Develop and maintain data pipelines
- Implement CI/CD workflows
- Implement ETL workflows
- Manage cloud data warehousing platforms
- Set up orchestration for data workflows
- Train and deploy machine learning models
- Use Databricks for data engineering
- Use version control for code management
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Bash | Bitbucket | CI/CD | Data Warehousing | Databricks | Databricks CLI | Databricks Workflow | Delta Lake | Docker | ETL | FastAPI | Flask | GitHub | Jenkins | Kubernetes | Machine Learning | Prefect | PySpark | Python | REST API | SQL | Scikit-learn | Spark | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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