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[SCM Automation]Manager, Machine Learning Engineering

근무지 Shanghai, China
업데이트일

회사 소개

What you will do

  • Lead the design and development of ML models engineering and pipelines for SCM-related products focusing on demand forecasting for inventory optimization, and supply chain resilience.
  • Design/Implement/Oversee the ML lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring.
  • Collaborate with product managers to translate business requirements into scalable ML solutions. Implement best practices for data management and model versioning to ensure reproducibility and compliance.
  • Mentor and lead a team of ML engineers, fostering a culture of innovation and continuous learning.
  • Advocate for and apply advanced ML techniques and algorithms to forecast millions of products having complex demand patterns.
  • Engage with stakeholders to demonstrate the business value of ML initiatives and gather feedback for continuous improvement.
  • Stay abreast of the latest developments in ML and supply chain technologies to keep Coupang's SCM products at the cutting edge.
  • Ensure the stability and performance of ML models in production, addressing any issues promptly and efficiently.

 
What are the things we need this person MUST do/have?

  • Proven expertise in developing and deploying ML models in a production environment, and forecasting related domain experience is preferred.
  • Strong proficiency with ML frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch with demonstrated experience in distributed training of models to handle large-scale datasets
  • Strong experience with Big Data ecosystem (Spark, Hive, HBase) and familiar with SQL(MySQL) and NoSQL(Redis/MongoDB)
  • Excellent problem-solving skills with the ability to simplify complex concepts for a broad audience.
  • Experience in leading ML projects and teams, with a track record of delivering impactful ML solutions.

Essential Qualifications

  • Minimum bachelor's degree in Computer Science, Engineering, or related field. A Master's or Ph.D. in Machine Learning, Data Science, or a related technical field is preferred.
  • 8+ years of experience in machine learning engineering, with significant expertise in SCM or related fields.