Senior Machine Learning Engineer

  • الراتب:
    قابل للتفاوض
  • نوع الوظيفة:
    دوام كامل
  • تاريخ النشر:
    شهرين مضت
  • التصنيف:
    وظائف تكنولوجيا المعلومات, وظائف هندسية
  • آخر موعد للتقدم:
  • اللغات:
    العربية, الانجليزية
  • الجنس:

Job Duties/Responsibilities

  • Design, train and deliver machine learning solutions to a wide range of datasets: from small datasets to big data, time series to 3D matrices, both unlabeled and labeled
  • Collaborate with the development team and ML engineers to implement, test and validate new algorithms and integrate the algorithms with the existing frontend and backend systems.
  • Build state-of-the-art models for various modeling tasks (e.g., time series forecasting, spatiotemporal and traffic/logistic)
  • Optimize and automate model training and testing, experimentation tracking, development, and production.
  • Skilled in breaking down problems, documenting problem statements and estimating efforts
  • Mentor junior engineers, perform code reviews and document design decisions
  • Create web services/APIs for serving ML/AI model results.

Minimum Qualifications

  • PhD or MS in Computer Science, Electrical Engineering or similar field
  • 8+ years of experience with one modern language such as Java, C++, Python including object-oriented design.
  • 5+ years of experience with machine learning tools and deep learning algorithms and techniques, including but not limited to:
  • PyTorch, TensorFlow, Keras
  • Scikit-learn, pandas, numpy
  • Optimization techniques and fine-tuning models
  • 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
  • Experience with MLOps and other production level implementation frameworks and pipelines
  • Experience with messaging systems, Docker, Kubernetes, Spark, EMR, and cloud platforms (AWS or Azure)
  • Able to work independently on problems and in highly collaborative team environments.

Preferred Qualifications

  • Team management and mentoring junior members
  • Graph-based Machine Learning
  • Research experience with high impact publications
  • Application of ML in industrial projects

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