Machine Learning Engineer

Location: Sydney NSW

*** Mention DataYoshi when applying ***

We have an exciting opportunity for a Machine Learning Engineer to join the team.

As the Machine Learning Engineer, you will contribute to a high performance team by developing, deploying and maintaining automated machine learning and advanced analytics pipelines to enhance business understanding of customer behaviours and needs, optimise business performance, and provide data-led solutions for enhanced portfolio & asset decision intelligence.

Key Responsibilities:

  • Work closely with other members of the Customer Insights team and other business stakeholders/clients to scope out and gather requirements for machine learning and advanced analytics solutions
  • Architect and produce SA diagrams for automated machine learning and advanced analytics pipelines utilising cloud infrastructure/services
  • Collaborate with data scientists in the Customer Insights team and data engineers from the Digital & Emerging Technology team to develop data ingestion and transformation pipelines to support machine learning and advanced analytics solutions
  • Collaborate with data scientists in the Customer Insights team to develop, iterate on, deploy and monitor machine learning models and pipelines
  • Work within and champion agile sprint-based project/workflow management, including weekly team stand-ups and proactive card/board management
  • Evangelise and exemplify best practices for software development/collaboration and machine learning cloud deployments within the Customer Insights team and across the organisation

What are we looking for?

  • Degree qualified in a technical discipline such as Computer Science, Mathematics/Statistics, Physics etc.
  • 2+ years’ industry experience deploying/productionising machine learning models on cloud services/infrastructure
  • Python (advanced/expert level) - experience with ML related packages (e.g. Scikit-learn, Pandas, XGBoost)
  • SQL (advanced/expert level) - experience with PostgreSQL and PostGIS will be highly regarded
  • Cloud Services/Infrastructure (AWS preferred) - experience deploying ML pipelines in serverless architectures
  • Software Development - object oriented programming, test driven development
  • Code Collaboration and Source Control (Git)
  • Unix/Bash proficiency

The Stockland Proposition

At Stockland we are a community delivering outcomes that benefit the community at large. We work collaboratively and inclusively, building strong working relationships. Our portfolio is diverse and so are the opportunities for professional and career development. We are committed to providing our people with broad experiences to build a successful career.

We recognise the importance of flexibility and work life-quality and over 80% of our employees have informal or formal flexible work arrangements. Additionally, Stockland has a strong commitment to achieving the best outcomes through an inclusive and collaborative culture. Our customers come from diverse backgrounds and we want our teams to reflect this.

We offer competitive remuneration and benefits. Benefits include free to access or subsidised lifestyle, health, well-being and financial services products.

Due to the permanent nature of this role, we can only accept applications from Australian Citizens, Permanent Residents or Open Work Visa holders with more than 12 months validity from their role start date.

Apply today – Stockland – it's your place.

Agencies should note that unsolicited resumes will not be accepted for this position and Stockland will not pay any fees related to resumes that are submitted directly to hiring managers and not through our approved process. Where appropriate, the Careers @ Stockland Team will work with our preferred panel of agencies to source candidates for roles. Please submit any queries relating to the approved process of submitting candidate resumes or Stockland’s preferred agency panel to

*** Mention DataYoshi when applying ***

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