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Machine Learning Architect

3 weeks, 6 days ago
Asia, Oceania
Full-time
Lead
Machine Learning Engineer
Data Science and Analytics
Apache Spark ClickHouse Deep Learning Feature Engineering Flink Go Hadoop Java LightGBM Machine Learning MLOps Python PyTorch Reinforcement Learning TensorFlow XGBoost
Apply Now
Gate.com

Gate.com

Gate.com offers premium Managed WordPress hosting with top-notch security, management tools, and 24/7 support for small and medium-sized businesses, ensuring an enterprise-grade experience at an affordable price.

IT Services
51-250
Founded 1996
View All Jobs 24

Description

  • Architect and optimize the machine learning platform to improve algorithm engineering and enable efficient model training, deployment, and monitoring.
  • Research, develop, and optimize core algorithms including recommendation systems, user profiling, quantitative trading, and risk models.
  • Design and optimize data feature engineering and data pipelines to improve model performance and ensure efficient, stable data processing.
  • Integrate A/B testing and experimentation to validate algorithm changes and drive business revenue and product improvements.
  • Manage the full model lifecycle in production, ensuring stability, interpretability, and continuous optimization of models.
  • Lead, mentor, and guide the algorithms/ML team to implement machine learning best practices and raise technical capability.
  • Collaborate closely with product, data, and operations teams to identify business pain points and deliver intelligent, data-driven solutions.
  • Drive development and optimization of online inference systems, including model optimization, compression, and inference acceleration.

Requirements

  • Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Artificial Intelligence or related field.
  • 5+ years of machine learning-related experience and 2+ years of team management experience.
  • Strong knowledge of machine learning and deep learning algorithms, with familiarity in recommender systems, reinforcement learning, NLP, and graph neural networks.
  • Proficiency in Python, Golang or Java, and familiarity with frameworks such as TensorFlow, PyTorch, XGBoost, and LightGBM.
  • Experience with large-scale data processing and big data technologies such as Hadoop, Spark, Flink, and ClickHouse.
  • Experience building online inference systems and techniques for model optimization, compression, and inference acceleration.
  • Practical experience with A/B testing and data-driven algorithm optimization.
  • Strong team and project management skills and excellent communication to drive cross-functional collaboration.
  • Preferred: experience applying ML to cryptocurrency trading, payments, deposits/withdrawals, or quantitative trading products.
  • Preferred: MLOps experience (automated training, model monitoring, deployment optimization) and experience in risk control, anti-fraud, user growth, or precision marketing ML projects.

Benefits

  • Full-time remote role (Remote-apply) with an APAC-focused R&D position.
  • Opportunity to work at a leading global cryptocurrency exchange with large user scale and global impact.
  • Collaborate with industry-leading technical peers and join a high-performance product R&D team.
  • Significant career growth potential and broad scope for technical ownership and innovation.

Interested in this position?

Apply directly on the company website

Apply Now

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