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    Algorithm & Analysis Engineer - GTRI-ICL - Dubai, United Arab Emirates - Georgia Institute of Technology

    Georgia Institute of Technology
    Georgia Institute of Technology Dubai, United Arab Emirates

    Found in: Talent AE C2 - 2 days ago

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    Description

    The Algorithm & Analysis Engineer is responsible for the development and support of state-of-the-art algorithms involving data fusion, sensor fusion, machine learning, manned/unmanned avionics improvement programs, and genetic programming. The Algorithm & Analysis Engineer focuses on the design, analysis, software/hardware implementation, optimization, profiling, and experimental evaluation of computer algorithms, bridging the gap between algorithm theory and practical applications of algorithms in software engineering. Additionally, the Algorithm & Analysis Engineer conducts statistical analysis of multi-modal and time-varying data to characterize and quantify system qualities and deficiencies, resulting in recommendations and development of improvements.

    Key Responsibilities

  • Perform data cleaning and fundamental data analysis using existing tools with senior guidance
  • Execute algorithm tests in accordance with limited direction from senior researchers
  • Contribute to algorithm design discussions
  • Design and/or modify aspects of algorithm design and implementation
  • Contribute to technical report execution
  • Participate in sponsor discussions of program technical status and research results
  • Accompany lead engineer to sponsor sites for meetings and analysis
  • Accomplish specific technical and writing objectives for the development of conference presentations and journal publications
  • Aid in literature searches

    • Additional Responsibilities

  • Architecting, developing and deploying AI pipeline solutions on AWS, Microsoft Azure or on premise solutions
  • Database system design and query development for SQL and NoSQL systems to include; MS SQL Server, PostGres DB, MariaDB, Nero4J and MongoDB
  • Independently conducting exploratory data analysis, documenting and presenting findings to senior leadership and decision makers
  • Independently applying of Machine Learning techniques such as supervised, unsupervised and semi-supervised learning
  • Develop Machine Learning operation guidance, architectures and deployment in production
  • Developing and applying Natural Language Processing techniques
  • Performing as a main contributor to small AI/ML development teams
  • Experience leveraging geospatial application tools such as OpenStreetMap, Nominatim and PostGIS

    • Required Minimum Qualifications

  • Machine Learning modeling experience Decision Trees, Random Forest, Support Vector Machines, Logistic Regression, Neural Network Architecture, K-Means and dimensionality reduction techniques
  • Basic cloud development experience in AWS and/or Microsoft Azure
  • Experience building data sets from SQL based systems such as PostGres and MariaDB
  • Experience working with Data Science IDEs such as JupyterLab, JupyterHub and Anaconda environments
  • Coding experience with Python, R and GitHub/GitLab
  • Working experience with Linux based systems RHEL, Rocky Linux, Ubuntu other Debian operating systems
  • Ability to work well with a variety of teams with diverse skill sets

    • Preferred Qualifications

  • Master's degree or pursing in Analytics, Machine Learning or Computer Science
  • Experience developing and deploying AI pipeline designs
  • Fundamental programming skills languages such as Python, Java and JavaScript
  • Experience modeling data in JSON and Entity Relational Diagraming (ERD) design
  • Experience working with cloud-based analytics environment, such as Databricks, Azure ML and AWS
  • Experience working with databases (i.e. configuring, deploying, securing and maintaining)
  • Experience working with government systems
  • Currently possess or can obtain a DoD Top Secret Security clearance

    • Travel Requirements

    10% - 25% travel

    Education and Length of Experience

    This position vacancy is an open-rank announcement. The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section of the Georgia Tech Faculty Handbook

  • 2 years of related experience with a Bachelor's degree in Computer Science, Computer Security, Industrial and Systems Engineering, Analytics, Computing or related degree field
  • 0 years of related experience with a Masters' degree in Computer Science, Computer Security, Industrial and Systems Engineering, Analytics, Computing or related degree field

    • U.S. Citizenship Requirements

    Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens.

    Clearance Type Required

    Candidates must be able to obtain and maintain an active security clearance.

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