Machine Learning Engineer

4 weeks ago

Sydney, New South Wales, Australia HiPages Group Full time
About HiPages Group

We are a leading Australian tech company, transforming the trade industry and building better lives for everyone. Our platform connects homeowners and tradies, and we're powered by a talented team across Australia, New Zealand, Philippines, and Vietnam.

Job Summary

We're seeking a skilled Machine Learning Engineer to drive our marketplace forward. You'll work with our data team to design and deploy data products, develop machine learning capabilities, and contribute to our commercial strategy. Your projects will include demand forecasting, dynamic pricing, and recommendation engines.

Key Responsibilities
  • Design, code, experiment, and implement models and algorithms that enhance the customer experience, optimise supply and demand, improve business outcomes, and expand product capabilities.
  • Identify new commercial opportunities for advanced analytics across various domains within the organisation, leveraging AI/ML to drive growth.
  • Build, shape, and deliver data products and machine learning platform capabilities across the entire ML and product lifecycle, from model training to model serving, monitoring, observability, and feature store.
  • Apply engineering and product best practices to apply agile and iterative approaches to releasing data products and platform capabilities.
  • Contribute to fostering an open, positive atmosphere within the team, promoting collaboration, learning, and growth.
Requirements
  • Bachelor's Degree in Computer Science, Mathematics, or a related quantitative qualification or relevant equivalent experience.
  • Good understanding of AI/ML/DL methodologies and statistics.
  • Intermediate programming language experience in Python.
  • Intermediate level of SQL or equivalent.
  • Experience deploying and maintaining data science models with cloud technologies (AWS, GCP, Azure).
What We Offer
  • Competitive salary, benefits, and perks, plus equity via our Employee Share Program.
  • Work from home with a 50/50 hybrid working model.
  • Cross-functional collaboration with autonomous work driven by your innovation.
  • Leverage hands-on learning, coaching opportunities, and workshops for continuous upskilling.
  • In-house Talent Development team to support your personal career growth and plan for your promotion.
Why Join Us

We're a Great Place to Work, certified and award-winning for our innovative approaches to team engagement and wellbeing. We're committed to Diversity, Equality, and Belonging, and we're proud of our diverse team. We offer a supportive and fast-paced work environment, and we're passionate about transforming the trade industry.

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