Machine Learning Engineer (TX)

Associate / Junior

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About This Workplace

Meytier Partner

We are looking for a Machine Learning Engineers for our team. As part of this job, you will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions.
  • Creating high performance and scalable Machine Learning systems
  • Building reusable production data pipelines for machine learning models
  • Writing production quality code and libraries that can be packaged as containers, installed and deployed

Requirements

  • Demonstrate up-to-date knowledge in software engineering practices and provides solutions for the development, implementation and scaling, execution, validation, monitoring, and improvement of data science solutions
  • Collaborate with Data Engineers and Data Scientist to build data and model pipelines and help in running machine learning tests and experiments
  • Manage the infrastructure and data pipelines needed to bring ML solution to production
  • Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created and maintain scalable machine learning solutions in production
  • Abstracts complexity of production for machine learning through the use of containers
  • Troubleshoots production machine learning model issues, including recommendations for retrain, re-validate, and improvements
  • 3-5 years of experience with Big Data Projects using multiple types of structured and unstructured data
  • Ability to work with a global team, playing a key role in communicating problem context to the remote teams
  • Excellent communication and team work skills
  • Bachelor's degree or higher in computer science or related

Additional Skills Required:

  • Technologies used would include Python (multiple versions), Spark, Hadoop, Docker, with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
  • Test driven development (prefer py.test / nose), experience with Cloud environments
  • Proficiency in statistical tools, relational databases & expertise in programming languages like Python/SQL is desired


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