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← CÔNG TY TNHH DREAM TALENT

AI & DATA ENGINEER

CÔNG TY TNHH DREAM TALENT · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Thành phố Hồ Chí Minh, Hồ Chí Minh

Overview

  • Data Pipeline Architecture: Design, build, and maintain scalable data pipelines to ingest, clean, and process massive volumes of real estate data from fragmented sources, including MLS feeds, public tax records, and real-time user clickstreams.
  • Data Mining & Advanced Analytics: Apply pattern recognition, association analysis, and clustering algorithms to extract actionable intelligence from property data, identify market trends, and segment customer behaviors.
  • Data Imputation & Quality Assurance: Build robust imputation models to automatically detect anomalies and estimate missing/erroneous data (e.g., missing bedroom counts or inaccurate square footage) from raw MLS feeds, ensuring high accuracy for downstream valuation algorithms.
  • Data Modeling & Storage: Design optimal Data Lake/Data Warehouse architectures to effectively store and manage a hybrid of structured data (prices, geospatial coordinates) and unstructured data (3D tours, property images, and legal documents).
  • Real-time Data Strategy: Implement data streaming architectures (utilizing tools like Apache Kafka or AWS Kinesis) to support real-time data processing, ensuring low-latency updates for AI inference and property listings.
  • Data Governance & Compliance: Establish strict data quality standards, encryption, and access controls to ensure the infrastructure strictly complies with data privacy laws, FinCEN reporting rules, and fair housing regulations.
  • AI & ML Development: Develop and deploy core PropTech machine learning models, including deep learning-based property valuation algorithms (AVMs) and Contextual Bandits for personalized user recommendations.
  • Multi-Agent AI Integration: Architect a multi-agent AI system that acts as a central coordinator, routing user intents (via function and tool calling) across different domain-specific skills such as property search, financing, and tour scheduling.
  • Agentic Coding Execution: Utilize advanced AI coding assistants and agentic IDEs to automate data transformation scripts, generate infrastructure-as-code, and accelerate the prototyping of machine learning models.
  • Minimum 3 years of proven experience combining Data Engineering and Machine Learning/AI development.
  • Experience developing PropTech products is a strong advantage.
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related technical discipline.
  • Strong programming proficiency in Python and SQL for complex data manipulation and model development.
  • Hands-on experience building data pipelines using cloud-based big data technologies (AWS, GCP, or Azure) and streaming platforms.
  • Practical experience in training and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proven ability to utilize Agentic Coding tools and workflows (AI-assisted IDEs, multi-agent parallel workspaces) to delegate tasks to AI and speed up software delivery.
  • Ability to analyze document business requirements, and create data flows and diagrams.
  • Skills in feature prioritization, and project management.
  • Proficiency with tools like Jira, Trello, Notion.
  • Excellent communication, persuasion, and teamwork skills.
  • Ability to work under pressure, multitask, and adapt in a fast-paced start-up environment.

Requirements

  • Prior experience in the PropTech industry, specifically working with Multiple Listing Service (MLS) data, RETS/RESO Web APIs, or open-source AVM repositories.
  • Familiarity with LLMs , RAG and building function-calling AI agents capable of executing real-world actions.
  • Knowledge of high-cardinality geospatial data processing for location-based property analysis and valuation.
  • Experience with multimodal AI and computer vision, particularly in analyzing property images, floor plans, and 3D home tours.
  • Familiarity with real estate data compliance and security programs, including FTC Safeguards and algorithms that mitigate historical bias
  • Familiarity with Agile/Scrum processes and MVP development.
  • Fluency in English for working with international documentation or partners.
  • Management responsibility:
  • Make daily reports/weekly/monthly.
  • Perform periodic and irregular work reports at the request of the Product Manager and the Board of Directors.
  • Relationships:
  • Internal: Closely associated with departments in the Company.
  • External: Ability to build and develop good relationships.
  • Problems:
  • Directly deal with arising arising in the assigned work.
  • Report and ask for timely direction of the Product Manager or The Board of Directors in case of arising is beyond the ability and authority to make personal decisions.
  • Accountability:
  • Sense of responsibility and ability to withstand high pressure at work.
  • Good moral character.
  • Honesty, work in compliance with good discipline.
  • Professional working attitude.
  • Make efforts to learn more new knowledge.

Benefits

Training

Summary of facts from the official posting. View original ↗

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