Machine Learning Engineer, Lead

Key Role:

Process data and information at massive scale with machine learning technologies. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision, mentor or supervise employees in both firm and technical competencies.

Basic Qualifications:

  • 6+ years of experience as a machine learning engineer, data scientist, or software engineer

  • Experience with machine learning or natural language processing applied solutions

  • Experience with developing software in object oriented programming languages, including Python

  • Experience with machine learning tools, including Tensorflow, Pytorch, or Scikit Learn

  • Experience with feature selection, Computer Vision, or Natural Language Processing model building and optimization using supervised and unsupervised machine learning techniques

  • Ability to train, optimize, and test Machine Learning algorithms across high volume or velocity text and imagery or full-motion video data feeds

  • Secret clearance

  • Bachelor's degree required

Additional Qualifications:

  • Experience in container orchestration with Kubernetes

  • Experience with performing data exploration and data analysis on multiple data types, including images, video, and text

  • Knowledge of Machine Learning operations and the design and implementation of Machine Learning algorithms for deployment to production environments

  • Knowledge of deep learning, natural language processing, and synthetic data generation

  • Master's degree preferred

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

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