Sustainable Property AI Solutions Engineer

4 days ago

Melbourne, Victoria, Australia Tideri Jobbörse Full time

About Us

At Tideri Jobbörse, we're a leading global digital business specialising in property.

We're committed to reducing our impact on the environment and have long-term partnerships with charities working to address homelessness.

We offer a hybrid and flexible approach to working, as well as programs to support mental, emotional, financial, and physical health & wellbeing.

Job Description

We're looking for an experienced Machine Learning Engineer to join our CX-AI team within the Consumer Experience division.

You'll design scalable, multi-modal AI solutions for our web and app platforms, utilising Generative AI, LLMs, and VLMs.

You'll build and deploy real-time ML APIs and batch pipelines using multi-cloud frameworks and tools like SageMaker/VertexAI, Docker, and Python.

About the Role

  • Assist in designing scalable, multi-modal AI solutions (text, image, audio, video) for our web and app platforms.
  • Utilize Generative AI, LLMs, and VLMs, combining them with traditional ML techniques to deliver impactful solutions.
  • Build and deploy real-time ML APIs and batch pipelines using multi-cloud frameworks and tools like SageMaker/VertexAI, Docker, and Python.
  • Develop models that enhance property valuations, predict user behaviour, and provide personalised experiences.
  • Create recommender systems using techniques like Matrix Factorization, Learning to Rank, and Deep Learning.
  • Extract insights from structured and unstructured data for business impact.
  • Develop visualisation tools to support data and model analytics.
  • Collaborate with internal stakeholders to design and enhance data products.
  • Promote REA's AI, ML, and analytics capabilities both internally and externally.

Your Background

  • Practical experience in ML engineering, data science, or related fields.
  • Skilled in large-scale development with one of the following programming languages: Python.
  • Competence in one or more of the following areas: Deep Learning / Generative AI, Computer Vision, Recommender Systems, Machine Learning.
  • Experience with key ML libraries such as PyTorch, Keras, HF models, Transformers, XGBoost/LightGBM, and Scikit-learn.
  • Familiarity with relational databases (e.g., MySQL, PostgreSQL), BigQuery and NoSQL databases (e.g., Redis/DynamoDB, ElasticSearch/Solr, GraphDB).
  • Experience with cloud platforms: AWS (e.g., EC2, ELB, S3, VPC, Route 53) OR Google Cloud (e.g., Vertex AI, Compute Engine, Pub/Sub, GCS).
  • Comfortable with containerisation technologies such as Docker.
  • Some experience deploying AI systems in real-time, production environments.
  • Familiarity with deployment tools like Terraform, or CloudFormation.
  • Good communication and interpersonal skills.

Our Benefits

  • A salary range of $120,000 - $180,000 per annum, depending on your experience.
  • A hybrid and flexible approach to working.
  • Flexible parental leave offering for primary and secondary carers.
  • Programs to support mental, emotional, financial, and physical health & wellbeing.
  • Hack Days so you can bring your big ideas to life.
  • Performance recognition programs because hard work should never go unnoticed.

How to Apply

If you've got the skills, dedication, and enthusiasm to learn, please apply now.

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