Senior ML Data Engineer
Job Location:
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
10 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Summary (Senior ML Data Engineer)
- Lead the design and maintenance of scalable data pipelines using Databricks Spark and Airflow.
- Develop and manage Feature Stores to support machine learning and data science initiatives.
- Implement data versioning practices to enable reproducibility of ML models.
- Act as a technical leader on a small high-impact team collaborating closely with Data Scientists.
- Ensure effective communication and independent work within a hybrid team environment.
- Leverage 6-8 years of data engineering experience including 2-3 years focused on ML infrastructure and lifecycle.
- Utilize strong expertise in Databricks toolchain Spark Airflow and feature store management.
- Bridge the gap between raw data and model-ready features for AI/ML use cases.
SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race color gender religion age sexual orientation national origin or citizenship status or ethnic origin disability marital status veteran status or any other occupationally irrelevant criteria.
- Lead the design and maintenance of scalable data pipelines using Databricks Spark and Airflow.
- Develop and manage Feature Stores to support machine learning and data science initiatives.
- Implement data versioning practices to enable reproducibility of ML models.
- Act as a technical leader on a small high-impact team collaborating closely with Data Scientists.
- Ensure effective communication and independent work within a hybrid team environment.
- Leverage 6-8 years of data engineering experience including 2-3 years focused on ML infrastructure and lifecycle.
- Utilize strong expertise in Databricks toolchain Spark Airflow and feature store management.
- Bridge the gap between raw data and model-ready features for AI/ML use cases.
SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race color gender religion age sexual orientation national origin or citizenship status or ethnic origin disability marital status veteran status or any other occupationally irrelevant criteria.
