Role overview

Machine Learning Engineer

Requirements and responsibilities

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Details

  • You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems
  • You will be working in a highly-collaborative environment with other experts in data science and engineering
  • Transform business problems into data problems
  • Research and build statistical/machine-learning models
  • Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management
  • Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred
  • 3+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting
  • Hands-on experience with software development, including translatingML modelsinto scalable production services
  • Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach
  • Strong inPython
  • Experience in implementing machine learning algorithms usingAPIs/libraries from scikit-learn, H2O, MLlib and TensorFlow
  • Hands-on experience with software development, including translating ML models into scalable production services
  • Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark
  • Excellent verbal and written communication skills
  • You take complete ownership of your work and are self-driven
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Browse stack
FocusMachine Learning EngineerRole area
Seniority signalSeniorCandidate level
StackSparkPrimary skills
Location1 accepted countryEligibility

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