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AI/ML Engineer II

  • Annapolis Junction, MD, United States

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Job details

Posting language
English
Posted

Original job description

Reflexive Concepts is seeking a skilled Artificial Intelligence/Machine Learning Engineer to join our team!

The AI/ML Engineer should be proficient in model architecture, data pipeline interaction, and metrics application, and familiar with application development, infrastructure management, data engineering, and data governance.

Qualifications:

  • Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity
  • A Master’s or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university
  • 5 additional years of machine learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree
  • Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow

Required:

  • Select appropriate data sets
  • Perform statistical analysis
  • Run machine learning algorithms
  • Use results to improve models
  • Train and retrain systems when needed
  • Experience working with various ML libraries and packages
  • Run standard test and evaluation protocols
  • Provide system integration oversight
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
  • Research and implement a broad range of AI and ML algorithms and tools
  • Design or select appropriate data and knowledge representation methods
  • Recognize software architecture, data modelling, and data structures
  • Transform and convert data science prototypes into scalable solutions
  • Verify data and model output quality
  • Identify differences in data distribution that affect model performance
More about this job

Skills

  • ML
  • Machine learning
  • Artificial intelligence
  • Computer science
  • Deep learning
  • PyTorch
  • TensorFlow
  • Statistics
  • ICT system integration
  • Design process
  • Research
  • Data modelling
  • Process data

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