ML Engineer: Build Production Data Pipelines & MLOps
Posted 4
views
Summary
An ML/data engineer at Match Profiler builds and maintains production data pipelines and ML workflows, working with Python, PySpark, SQL, Airflow, CI/CD, and GCP services such as BigQuery and Dataproc to deliver scalable data platforms.
Match Profiler, an Information Systems consultancy, is strengthening its team with a profile focused on data engineering and production pipelines.
You will work with Python, PySpark, SQL, Airflow, and CI/CD, on GCP technologies like BigQuery and Dataproc, aiming for scalable data platforms and ML workflows.
Join a close-knit, supportive environment with onboarding, continuous feedback, and opportunities for personal growth.