Machine Learning Engineer

hace 2 días

Ciudad de México, Ciudad de México MediaLab A tiempo completo

MediaLab is seeking a talented Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for ensuring the development and deployment of modeled solutions. You will work closely with data science and business intelligence teams to select and maintain the framework for our ML workflow, optimize models produced by data science, and productionalize models to produce consumable outputs.

Key Responsibilities:

  • Implement a ML framework that includes both model development and robust deployment
  • Work with data science and business intelligence to find the data required as model inputs and ensure it is cleaned and prepared as needed
  • Reach out to other teams as needed to get access to data sources and take ownership for following through to ensure that we get the data we need
  • Optimize models so that they are cost-efficient when running at scale
  • Productionalize models, storing their outputs in accessible formats
  • Expose model outputs to applications, whether this means writing database connectors, RESTful APIs, or other types of solutions
  • Manage the scheduled retraining of models, working with data science to continually validate outputs

Requirements:

  • 3-5 years professional experience in a ML Engineering / ML Ops role, or as a data engineer with significant exposure to ML model deployment
  • Advanced python skills including significant experience building ML workflows or CI/CD pipelines
  • Comfort with data science libraries such as pandas, numpy and scipy
  • SQL competence and experience with data cleansing
  • Experience optimizing ML models at scale
  • Experience working with data scientists to productionalize their models
  • Some understanding of hyperparameter tuning and familiarity with common statistical models

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