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About the Role
What youll be doing
Qualifications : What you bring
- Designing and maintaining data pipelines optimized for ML/AI workloads including handling of large-scale unstructured and semi-structured data.
- Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.
- Collaborating with Data Scientists and ML Engineers to understand data requirements for training validation and production deployment .
- Ensuring data quality lineage and governance meet standards required for AI/ML applications.
- Supporting MLOps practices by integrating data pipelines with model training monitoring and deployment workflows.
- Leveraging distributed processing frameworks (e.g. Spark Databricks Azure Synapse) for scalable ML data processing .
Qualifications : What you bring
- 8 years of experience as a Data Engineer working with ...
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