Senior ML Engineer

Senior ML Engineer

Job Overview:

Legion Technologies is looking for a Senior ML Engineer who will join  our data science team. The ideal candidate has built and implemented machine learning models in the past. S/he must have strong experience using a variety of data mining, data analysis and machine learning methods, using a variety of data tools, building, implementing and evaluating models, using and creating algorithms and building forecasting and predictive models.

Responsibilities:

  • Work with the leadership on current solutions and initiate new approaches.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Building competitive predictive models.
  • Develop processes and tools to monitor and analyze model performance and accuracy.

Qualifications:

  • Strong problem solving skills.
  • Experience using statistical computer languages (R, Python) and ability to build machine learning models in these languages.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages and drawbacks for different solutions.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 3-6 years of experience manipulating data sets and building statistical models, has a Master’s or PhD. in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • Coding knowledge and experience with python.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees.
    • Experience querying databases and using statistical computer languages: R, Python, SLQ.
    • Experience with: Redshift, S3, Spark.
    • Familiar with deep learning techniques such as RNN, LSTM, GRU.
    • Experience with Map/Reduce, Hadoop, Hive, Spark, MySQL.
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