Machine Learning Engineer

24 hours ago


Kraków, Lesser Poland, Czech Republic Antal Full time

Our ideal candidate will have strong expertise in designing and developing robust data pipelines leveraging GCP's Vertex AI and Cloud Composer.

Responsibilities include:

  • Designing and implementing data pipelines for model training, tuning, and deployment using Python and Java.
  • Implementing automated monitoring and alerting to track model performance and identify potential issues.
  • Maintaining data quality checks and validation including reconciliations in-line with Data Quality and Retention Controls.
  • Ensuring robust security measures to protect sensitive data and models.

In addition to the above responsibilities, our Machine Learning Engineer - Data Pipeline Development will be expected to:

  • Establish and maintain best practices for MLOps, including version control, CI/CD pipelines, and the Vertex AI Model Registry and End Points.
  • Implement MLOps tools to streamline model development, training, tuning, deployment, monitoring, and explainability.
  • Deploy and manage ML models on GCP's Vertex AI platform ensuring efficient and scalable execution.
  • Identify and address performance bottlenecks in ML models and pipelines.
  • Troubleshoot and resolve ML issues ensuring optimal model performance and costs.
  • Work closely with Compliance Analytics data scientists to prepare and preprocess data for model training and evaluation.
  • Assist in feature engineering and selection to ensure model performance.
  • Develop techniques to visualize and explain model behavior ensuring model transparency and accountability in-line with PRA S51/23 guidelines.
  • Collaborate with infrastructure and DevOps teams to establish efficient deployment and scaling strategies.

To be successful in this role, you will require:

  • Strong proficiency in GCP, including BigQuery, Cloud Storage, and Vertex AI.
  • Experience with Python and Java programming languages.
  • Knowledge of CI/CD pipelines and MLOps tools.
  • Ability to work effectively in a team environment.


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