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AI Engineer

One Mount Group · Hà Nội
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Quận Hai Bà Trưng, Hà Nội, Hà Nội

Overview

  • We are seeking highly skilled AI Engineers to enhance our product team. This position focuses on developing and implementing AI and data solutions within the real estate domain.
  • Build Data Pipelines: You'll directly build pipelines for collecting, processing, and standardizing real estate data (listings, transactions, legal documents, images, maps, etc.).
  • Develop Automated Valuation Models (AVM): Develop real estate valuation models based on big data.
  • Optimize Search & Recommendation Engines: Enhance search and product recommendation tools using Recommendation Systems and NLP (Natural Language Processing) algorithms.
  • Integrate AI into Products: Collaborate with software architects, GIS, backend, and product teams to integrate AI models into real-world products.
  • Implement & Improve ML Ops: Deploy, monitor, and continuously improve machine learning models in a production environment (ML Ops)
  • Your Skills and Experience
  • Graduated with a degree in Computer Science, Mathematics, AI, or equivalent fields.
  • Minimum of 3-4 years of practical experience in deploying ML/AI models.
  • Proficient in Python and related libraries: Pandas, Scikit-learn, XGBoost, PyTorch/TensorFlow.
  • Experienced with ETL systems, crawling, and big data processing.
  • Familiar with database systems as SQL & NoSQL (PostgreSQL, MongoDB, Elastic, BigQuery...).
  • Experience API-izing models and deploying machine learning models to the Cloud (GCP/AWS preferred).
  • Experience in PropTech, FinTech, AdTech platforms or data-driven products.
  • Knowledge of real estate, finance, investment, or online user behavior.
  • Logical thinking, ability to work in a fast-paced environment, and not afraid to experiment.
  • Why You'll Love Working Here

Benefits

BonusCompany tripsLaptop / equipment

Summary of facts from the official posting. View original ↗

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