Staff ML Engineer: Productionize & Scale ML Models

AdsWizz; Dublin; On-site; EUR 70,000 - 90,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Machine Learning

ML Engineering

Data Engineering

Cloud platforms (AWS, Azure)

Programming (Python, Scala, Java)

Education

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

Tools

Databricks

MLFlow

Docker

Kubernetes

Terraform

Job description

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.