Machine Learning Engineer L-1

Lauretta AI LLC

• $95K — $115K *
Austin, TX 78745In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years in software development with a focus on ML/AI
  • Proficient in Python, C/C++, or JavaScript
  • Familiarity with MLOps practices and model deployment
  • Strong understanding of machine learning and deep learning concepts
  • Ability to obtain security clearance due to government contract
  • Eagerness to learn and collaborate in a team environment
  • Open to fresh graduates aspiring in ML/AI fields

Responsibilities

  • Develop and maintain code for computer vision and ML modules
  • Integrate models into pipelines with engineering teams
  • Prototype product iterations based on team feedback
  • Automate and improve data pipeline processes
  • Track and implement advancements in computer vision
  • Perform additional tasks as directed by supervisors

Benefits

  • Opportunity to work on cutting-edge AI technologies
  • Engage in a collaborative and cross-functional team environment
  • Hands-on experience in MLOps and deploying models
  • Support for continuous learning and professional growth
  • Potential for government security clearance opportunities
Full Job Description
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
* Ladders Estimates

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