Sentek Global, Inc.

  • Mid Software Engineer

    Job Locations US-CA-San Diego
    Job ID 2018-1089
    Category
    Information Technology
  • Overview

    Sentek Global is seeking a Mid Software Engineer to provide support to PMW 150 in San Diego, CA!

    Responsibilities

    • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
    • Produce effective and powerful solutions to complex problems in areas such as software engineering, data analytics, automation, and cybersecurity.
    • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
    • Provide technical expertise, guidance, architecture, development and support in many different technologies directly to government customers.
    • Perform schedule planning and program management tasks as required.
    • Perform Risk Analysis for implementation of program requirements.
    • Assist in the development of requirements documents.
    • Other duties as required.

    Qualifications

    • A current active secret clearance is required to be considered for this role.
    • A Bachelor’s Degree in data science, data analytics, computer science, or a related technical discipline is required.
    • Three to five (3-5) years providing software engineering support to a DoD program office.
    • Experience working with data rich problems through research or programs.
    • Experience with computer programming or user experience/user interface.
    • Demonstrated knowledge completing projects with large or incomplete data and ability to recommend solutions.
    • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
    • Experience using deep learning frameworks (preferably TensorFlow).
    • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
      • Experience applying Deep/Machine Learning technology to solve real-world problems:
      • Selecting features, building and optimizing classifiers using machine learning techniques.
      • Data mining using state-of-the-art methods.
      • Extending company’s data with third party sources of information when needed.
      • Enhancing data collection procedures to include information that is relevant for building analytic systems.
    • Experience processing, cleansing, and verifying the integrity of data used for analysis.
    • Experience performing ad-hoc analyses and presenting results in a clear manner.
    • Experience creating automated anomaly detection systems and constant tracking of its performance. 
    • Must be able to travel one to three (1-3) times per year.

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