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Contractual Machine Learning Government Jobs in Texas

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

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Contractual Machine Learning Government information

What are the most commonly searched types of Machine Learning Government jobs in Texas?

The most popular types of Machine Learning Government jobs in Texas are:

What cities in Texas are hiring for Contractual Machine Learning Government jobs?

Cities in Texas with the most Contractual Machine Learning Government job openings:

Machine Learning Engineer L-1

Lauretta AI LLC

Austin, TX • On-site

$80K - $93K/yr

Full-time

Re-posted 26 days ago


Job description


  • Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline
  • Works with data and software engineering team to integrate models into pipeline
  • Support construction and iteration of product prototypes
  • Support data pipeline engineering and automation
  • Stay up to date with state of the art developments in computer vision tasks
  • Other duties as required by supervisors
Additional Requirements:
  • Due to government contract requirements, applicants are able to get clearance are preferred
  • Experience working in MLOps and building pipelines for deploying ML models
  • Programming skills in Python, C/C++ or Javascript
  • Understanding of machine learning and deep learning fundamentals
  • Develop internal tooling as needed to support ML efforts
  • Production deployment and performance monitoring including code refactoring and optimization as needed
  • Support infrastructure engineering, security engineering, and architecture
  • Willing to learn and work well in a cross functional team environment
  • Fresh graduates are welcome to apply on a full-time basis