Job Description
ID: 12022
**What you will do**
- Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
- Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
- Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
- Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
- Optimize data storage, retrieval, and processing performance for ML workloads;
- Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
- Manage data versioning, storage, and access control for ML datasets;
- Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;
- Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ...
**What you will do**
- Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
- Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
- Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
- Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
- Optimize data storage, retrieval, and processing performance for ML workloads;
- Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
- Manage data versioning, storage, and access control for ML datasets;
- Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;
- Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ...
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