Toa Payoh - Machine Learning Engineer
REAL ESTATE ANALYTICS PTE. LTD. Toa Payoh Permanent
Company Overview:
Real Estate Analytics Pte Ltd (REA) is a leading provider of data-driven insights and advanced analytics for the real estate industry. We leverage cutting-edge technologies to deliver valuable solutions that empower real estate professionals to make smarter, data-backed decisions.Our mission is to transform the real estate landscape by offering a suite of tools designed to enhance market analysis, valuation accuracy, and investment strategies.
About the Role:
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in REA. You will be responsible for developing, deploying, and optimizing machine learning models that enhance property valuation, market analysis, customer insights, and investment decision-making.This role requires strong expertise in machine learning, data science, and software development to build predictive models and intelligent systems tailored for the real estate sector.
Key Responsibilities:
- Collaborate with cross-function teams to enhance and deploy Automated Valuation Model for property pricing prediction, demand forecasting and market trend analysis.
- Collaborate with data engineers and software developers to integrate ML solutions into real estate platforms.
- Optimize model performance and scalability in a production environment.
- Monitor and evaluate model performance using key metrics and ensure continuous improvement.
- Stay up to date with the latest advancements in AI and ML technologies and apply them to real estate use cases.
Requirements:
- Minimum Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field. Master's and PhD degree holders are welcome to apply.
- 0 - 3+ years of experience in developing and deploying machine learning models in production
- Strong proficiency in Python, NumPy, Scikit-learn, and Pandas packages.
- Proficiency in working with SQL
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
- Strong communication skills to collaborate effectively with cross-functional teams.
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