Start-up culture - but established fast-growth company!
ML and Data science is at the core of the business
Plenty of autonomy and greenfield ML work
This Machine Learning Engineer role is in a newly formed team at a fast-growing MarTech company (not a start-up, but they are innovative, agile, flat-structure, etc). You are not having to start from complete scratch - they already have AWS cloud-native architecture, microservices, APIs and some good data scientists on board.
What will you do on the job?
Your mission is to design, build & enhance the Data Science and ML platform
You will also help deploy and productionise machine learning solutions with data scientists - including digital marketing and predictive models
Build out ML Feature stores and ML Ops pipelines
Introduce engineering best practices, such as CI/CD, automation, re-usable artefacts and other ideas to help data scientists and enable customers benefit from ML and insights
What experience is required?
At least 5 years in a Machine Learning Engineer role or combined Data Engineering + data science experience with cloud-based ML platform
AWS experience with preference for several years of Spark for ML
Strong Python and SQL coding and use of git
Maturity with Ops (MLOps/DevOps) tools and processes as they apply to data science
Ability and passion to keep learning new and emerging ML, data and cloud technologies and bring ideas to the table
The ability to communicate ideas with less technical peers and balance commercial decisions
Some of the benefits of this role:
A MLE role in a small team where you will have a big impact
High quality team and interesting digital marketing problems to solve
Great manager/leader with experience managing one of the best regarded data science teams in Australia
Flat structure and ability to influence new tech, innovation and roadmap for the ML platform and journey