Remote Machine Learning Engineer

Angenex

  • Jersey City, New Jersey
  • 7 days ago
  • Remote
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Cloud Computingunmatched
    • Computer Scienceunmatched
    • Data Scienceunmatched
    • Dockerunmatched
    • Ecosystemsunmatched
    • Equipment Maintenance/Repairunmatched
    • Linux Operating Systemunmatched
    • Machine Learningunmatched
    • Marketing Softwareunmatched
    • Mathematicsunmatched
    • Performance Modelingunmatched
    • Performance Tuning/Optimizationunmatched
    • Production Machiningunmatched
    • Production Systemsunmatched
    • Python Programming/Scripting Languageunmatched
    • SQL (Structured Query Language)unmatched
    • Salesunmatched
    • Statisticsunmatched
    • Trend Analysisunmatched

    Description

    Job Description

    We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

    Responsibilities

    - Build and deploy the ML pipelines that power the company machine learning platform.

    - Manage MLOps infrastructure to monitor and optimize models.

    Qualifications

    Experience:

    1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

    Proficiency across topics in machine learning and statistics.

    Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

    Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

    Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

    Experience implementing, deploying, and maintaining production machine learning systems.

    Experience monitoring and optimizing model performance.

    Experience with Linux, Docker and AWS, and basic development operations.

    Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

    Numbers & Facts

    LocationJersey City, New Jersey (
    Remote
    )

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