Advanced Property Data Solutions Engineer
4 weeks ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our Property team in PropTrack tribe for a 12-month fixed term contract.
As a key member of our engine room, you will play a crucial role in improving the quality, access and usage of our property data for consumers, and customers.
Your primary responsibilities will include designing, coding, testing, and deploying new Machine Learning pipelines using Airflow, Python, SQL, and other technologies. You will also support the Data Science team to implement new Machine Learning pipelines, assist with ad-hoc analysis, automated dashboards, and self-service reporting tools.
You will be responsible for identifying, tracking, and remedying data quality issues as well as performing exception handling across a broad variety of data sets.
A strong focus on quality software delivery from inception and design to build and deployment is essential, in collaboration with our Lead Developer and Technical Lead.
In addition, you will champion agile software development practices such as test-driven development, continuous delivery, and pair programming.
This role requires excellent communication and collaboration skills, as you will work closely with business stakeholders to understand their needs and priorities.
You will be part of a thriving culture centred around high performance and care, where innovation and collaboration drive our success.
We offer a hybrid and flexible approach to working, including flexible parental leave offering, programs to support mental, emotional, financial and physical health & wellbeing, and opportunities for professional growth and development.
The estimated salary for this role is between $120,000 - $180,000 per year, depending on your experience and qualifications.
We are committed to providing a working environment that embraces and values diversity, equity, and inclusion. If you have the skills, dedication, and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.
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