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Avalore

AI/ML Engineer

Full-Time
$107k - $233k
Entry, Junior, Mid, Senior
Bachelor's
Arlington County, Arlington, VA, USA
In Person
AI & Machine LearningApplied Machine Learning
No H1B Sponsorship
US Top Secret Clearance Required

About the job

Requirements
  • Junior level requires 0–3 years of experience and a Bachelor's Degree.
  • Journeyman level requires 4–7 years of experience and a Bachelor's Degree.
  • Senior level requires 8 or more years of experience and a Bachelor's Degree.
  • Professional proficiency in English is required.
  • Demonstrated proficiency in using all Microsoft Office applications is required.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • A Secret security clearance is required.
  • The employee must be able to sit at a computer terminal for an extended period.
  • The employee is required to sit, stand, talk, and hear, and is often required to sit and use their hands and fingers to operate a computer.
Responsibilities
  • Design, build, and maintain AI/ML lifecycle core services and products.
  • Create utilities and ensure seamless functioning of orchestration capabilities supporting the AI/ML environment.
  • Develop and implement infrastructure for training, validating, and deploying machine learning models.
  • Create reusable components and libraries to accelerate AI/ML development.
  • Build model-serving platforms for efficient inference.
  • Implement automated machine learning pipelines.
  • Design systems for model monitoring and performance tracking.
  • Develop tools for model explainability and interpretability.
  • Optimize AI/ML algorithms for performance and scalability.
  • Implement MLOps practices for continuous integration and deployment of models.
  • Collaborate with data engineers to ensure data pipelines support AI/ML requirements.
  • Stay current with advances in AI/ML technologies.
  • Document AI/ML systems and processes.
  • Provide technical guidance to data scientists implementing models.
  • Troubleshoot complex issues in AI/ML systems.
  • Implement version control for models and datasets.
  • Develop testing frameworks for AI/ML components.
  • Travel up to 10% occasionally.

About the company

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