Job Title: Data Engineering Specialist
This is a highly challenging and rewarding role that requires a strong understanding of data engineering principles and experience working with machine learning systems.
Job Description:
As a Data Engineering Specialist, you will take ownership of our end-to-end ML lifecycle, from data ingestion and feature engineering pipelines to model training, deployment, and real-time serving. You will design, build, and manage robust, automated CI/CD/CT (Continuous Integration / Continuous Delivery / Continuous Training) pipelines specifically for ML models, integrating with existing CI/CD patterns.
Responsibilities:
* Create seamless, reliable, and highly observable environments on GCP that empower our Data Scientists and ML Engineers to iterate and deploy models faster.
* Design and own a best-in-class observability framework for ML models in production, including implementing granular monitoring for model performance, data and concept drift, and operational health.
* Collaborate closely with Data Scientists and ML Engineers to understand their needs, building the tools and abstractions that create a seamless environment and accelerate their workflow.
* Partner with data engineering to ensure robust integration with feature stores and data sources like BigQuery and Oracle.
Requirements:
* 7+ years of deep, hands-on experience in a dedicated MLOps or DevOps role with a strong focus on machine learning systems.
* Proven experience building or evolving MLOps frameworks from the ground up, with clear examples of the improvements delivered.
* Expert-level knowledge of the GCP cloud stack, particularly Vertex AI (Pipelines, Endpoints, Training), BigQuery, Pub/Sub, and GKE.
* Demonstrable expertise in building and managing complex CI/CD pipelines.
* Proficiency in Python and experience with scripting for automation, infrastructure management, and building tooling for ML teams.
About This Role:
In this role, you will have the opportunity to work on cutting-edge machine learning projects and contribute to the development of our MLOps framework. If you are passionate about data engineering and machine learning, we encourage you to apply.
The ideal candidate will have a strong background in data engineering and machine learning, with experience working with GCP and Vertex AI. They will be able to demonstrate their skills through concrete examples and will be able to collaborate effectively with cross-functional teams.