Senior Machine Learning Engineer

1 week ago


Wellington City, New Zealand CM Group Full time

**The Company**

Sailthru is proud to be part of the CM Group, a world-class portfolio of technology products including Campaign Monitor, Emma, Liveclicker, Selligent, Vuture, and Cheetah Digital. Our mission is to be the most respected, fastest growing marketing technology company in the world. We have teams all over the globe — from New York City to San Francisco to London to New Zealand — making it a reality.

While Sailthru is located in Wellington, CM Group values flexibility in working style and is committed to encouraging our employees to work from the location that suits them best whether that is in the office, from home, or a hybrid of the two

**The Role**
Sailthru is looking for a passionate Machine Learning Engineer to join Sailthru’s Data Science team You'll work directly with Sailthru’s Data Scientists by playing a major role in deploying and scaling machine learning models and building the services that bring them to life.

You will work with our personalization engine which includes state-of-the-art recommendation systems and user segmentation models.

Additionally, Sailthru is committed to a hybrid, remote first work model. We believe in putting employee needs first in allowing them to choose the environment that works best for them

**What You’ll Do**:

- Work with a globally distributed and diverse team
- You will work with large, complex datasets to develop advanced ML pipelines, and large-scale implementation strategies
- Design, develop and research best in class ML models and systems
- Build solutions to monitor model performance in production

**About You**:

- You have a strong background in AWS, with experience supporting platforms that can process terabytes of data
- Strong Python experience
- Experience with cloud technologies and DevOps or DevOps equivalent roles
- Strong, proven experience building and maintaining platforms using Terraform (or similar infrastructure as code technologies)
- Experience with PySpark, Airflow, Kafka, ML frameworks, and data pipelines / data engineering for enterprise platforms
- Strong, proven experience working with developers to build and maintain tools and CI/CD pipelines
- Experience building and maintaining cloud-first monitoring, logging, and alerting infrastructure that support 24/7 enterprise platforms
- Experience building and deploying enterprise machine learning systems with a demonstrated history of scalability and reliability.
- Some domain expertise in the digital marketing space



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