Senior ML Data Engineer — Production Pipelines & MLOps
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Software Development
Job Description & How to Apply Below
Create Future seeks a Senior Data Engineer with an ML focus to own data and feature pipelines for production ML systems. You will collaborate with data scientists and ML engineers, mentor junior engineers, and elevate engineering practices.
The role emphasises Python, PySpark, and platforms like Databricks, Snowflake, or AWS. You will design and maintain data pipelines, ensure reproducible, point-in-time datasets, and support model versioning and retraining.
Consider building your career as a Senior ML Data Engineer — Production Pipelines & MLOps at Create Future.
Learn more about the Senior ML Data Engineer — Production Pipelines & MLOps role in the description above.
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Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
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