AI Driven Real Estate Data Architect
4 weeks ago
About Helius
We're a forward-thinking company harnessing the power of artificial intelligence to revolutionize the real estate sector. Our vision is built on human-AI symbiosis, amplifying the potential of real estate agents through data-driven insights.
Our Technology Stack
- Data Engineering: DBT, Google Cloud APIs, BigQuery
- Machine Learning: VertexAI, TensorFlow
- Back-end: FastAPI + Postgres
- Infrastructure: Google Cloud Platform
We're constantly exploring new technologies and methodologies in cloud machine learning, ensuring our solutions stay at the forefront of innovation.
Your Role
In this transformative journey as an AI Driven Real Estate Data Architect, you'll play a pivotal role in shaping our system architecture, ensuring robustness and scalability. Your expertise will be crucial in orchestrating seamless data pipelines, developing and deploying cloud-based machine learning models, and continuously optimizing these solutions.
Your responsibilities will encompass:
- Designing and implementing scalable data ingestion pipelines from various CRM systems using GCP APIs for seamless data flow and integrity.
- Utilizing tools like DBT for robust data engineering, creating, optimizing, and managing data pipelines that form the backbone of our machine learning solutions.
- Driving the end-to-end machine learning project lifecycle from conceptualization, data collection, model development, deployment, monitoring, and refinement.
- Developing, deploying, and maintaining machine learning models using GCP services like VertexAI, translating complex datasets into actionable insights empowering real estate agents.
- Collaborating with cross-functional teams to understand business requirements, troubleshoot data issues, and continuously improve our machine learning frameworks and architecture.
Key Qualifications
- Proficiency with Google Cloud Platform services, particularly in data ingestion, pipeline orchestration, and machine learning.
- 2+ years experience with Cloud (preferably Google Cloud Platform), including experience in building/leveraging APIs, DBT pipelines, VertexAI, and other GCP services.
- Strong skills in Python and experience with SQL and NoSQL databases.
- Experience in deploying machine learning models in a cloud environment and integrating them with real-time analytics solutions.
Why Choose Helius?
- Impact: Play a central role in enhancing contact engagement, making a tangible difference in the success of Australia's top agents.
- Innovation: Thrive in a culture of continuous learning and innovation, exploring new technologies and methodologies in cloud machine learning.
- Growth: Enjoy a plethora of opportunities for professional development and career advancement in a supportive, collaborative environment.
The estimated salary for this position is around $150,000-$180,000 per year, depending on your experience and qualifications.
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