Sydney C B D
$125000 - $160000 per annum
Job Type
Raj Sharif
Contact email
Email Raj
about 2 months ago
The Position:
Would you like to use Machine Leaning to solve real world problems whilst continually learning and developing your skills within a diverse, supportive team environment?
You could be joining an industry leading FinTech business in Sydney. Be apart of a supportive and collaborative team in a business that values data and invests heavily into the successful application of data science and machine learning initiatives throughout the business.
As a Machine Learning Engineer, you will partner with Data Scientists, taking proof of concept models and turning them into production ready systems; build data pipelines to move and transform large volumes of data and develop more advanced recommendation algorithms.
Your Responsibilities:
  • Commercial experience as Machine Learning Engineer with experience of writing production code for ML applications
  • Have the ability to write clean, testable Python code
  • Experience developing scalable ML pipelines
  • Partner with internal stakeholders on projects to identify and articulate opportunities, see beyond the data to identify solutions that will raise the bar for decision making.
  • Collaborate with cross-functional data and product teams across business applications to access and manipulate data, explain data gathering requirements, make recommendations, display results, and build efficient and scalable analytics solutions.
  • Knowledge of any of the following would be a bonus but not essential: Python, Scala, AWS, Spark, Hadoop, knowledge graphs, real-time data processing.
Your Background:
  • Degree in a quantitative field such as Computer Science, Quantitative Finance, Math, Statistics, Physics or a related Engineering degree.
  • Experience with Machine Learning, Statistics, or other data analysis tools and techniques.
  • Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis.
  • Experience writing testable code and shipping code into production.
  • 4+ years of related industry experience in the data science domain
  • Development experience in a programming language, Python is strongly preferred
  • Expertise in SQL and knowledge of cloud data environments e.g., AWS
This is a fantastic opportunity paying above market rates and working with a reputable global brand. If this isn’t quite the role for you but you have experience working as a machine learning or data science and looking for your next opportunity, get in touch.

For further information on this role or to confidentially apply, please contact Raj Sharif on 02 8227 9200 or apply directly via the Apply for this job button. Only WORD FORMAT resumes will be accepted