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Aquent

Machine Learning Engineer (Security) | NFCUJP00012078 | Remote

Aquent, Boston, MA, United States


Machine Learning Engineer (Security) | NFCUJP00012078 | Remote

Responsibilities

  • Using data science and machine learning analytics, the contractor will develop models and insights to support risk-based operational decisions for the organization.
  • Will work collaboratively with multiple departments to develop data pipelines for ML modeling and process optimization.
  • Will be tasked with creating descriptive and predictive models in conjunction with cybersecurity frameworks to drive risk-informed decision making across the organization.
  • Will operate under moderate supervision, but with wide latitude for independent decision-making on project features, tuning, and presentation.
  • Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive and predictive modeling, with a focus on ML engineering.
  • Leverage a broad set of modern technologies – including Python, R, Scala, and SQL – to analyze and gain insights within large data sets.
  • Evaluate model design and performance and perform feature analysis and hyper tuning.
  • Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling risk-informed decision making.
  • Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment.
  • Recognize potential issues and risks during project implementation and suggest mitigation strategies.
  • Perform other duties as assigned.

Qualifications

  • Master’s degree in Statistics, Mathematics, Computer Science, Engineering or other related fields.
  • Familiarity with Cloud computing environments such as Microsoft Azure.
  • Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch.
  • Familiar with project management concepts and frameworks, and tools such as ADO.
  • Communication Strategy and Management, Delivery Excellence and Requirements management.

Benefits

  • The target hiring compensation range for this role is the equivalent of $65.45 to $72.72 an hour.
  • Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
  • Additional benefits offered may include medical health insurance, dental insurance, life insurance, and eligibility to participate in 401k plan with company match.
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