Staff ML Engineer: Productionize & Scale ML Models

AdsWizz; Dublin; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

AdsWizz is looking for a Staff ML Engineer to deploy machine learning models into reliable, scalable production systems within their new Dublin facility. This role requires collaboration with Data Scientists and Engineers, focusing on model productionization, feature pipeline building, and lifecycle management of ML systems.

The ideal candidate should have over 7 years of experience and a strong background in ML engineering tools like Databricks and MLFlow.

Qualifications

• 7+ years of experience in ML Engineering, MLOps, data engineering, or a similar role.
• Deep knowledge of ML models and algorithms.
• Strong experience with cloud platforms.

Responsabilités

• Lead the deployment of ML models into production using Databricks and MLFlow.
• Design and maintain CI/CD pipelines for automated build and deployment of ML artifacts.
• Implement logging, monitoring, and alerting of ML systems.

Connaissances

Machine Learning

ML Engineering

Data Engineering

Cloud platforms (AWS, Azure)

Programming (Python, Scala, Java)

Formation

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Outils

Databricks

MLFlow

Docker

Kubernetes

Terraform

Description du poste

AdsWizz is looking for a Staff ML Engineer to deploy machine learning models into reliable, scalable production systems within their new Dublin facility. This role requires collaboration with Data Scientists and Engineers, focusing on model productionization, feature pipeline building, and lifecycle management of ML systems.

The ideal candidate should have over 7 years of experience and a strong background in ML engineering tools like Databricks and MLFlow.