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Alakaina Family of Companies
Kirtland AFB, NM | Full Time
8 Months Ago
Booz Allen Hamilton
Kirtland AFB, NM | Other
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Booz Allen
Kirtland AFB, NM | Full Time
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Software Engineer (MID)
Full Time 8 Months Ago
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Alakaina Family of Companies is Hiring a Software Engineer (MID) Near Kirtland AFB, NM

The Alaka`ina Foundation Family of Companies (FOCs) has a need for a qualified Data ScienceSoftware Engineer to support our government customer located at Kirtland Air Force Base in Albuquerque, NM.

The primary mission of the Defense Threat Reduction Information Analysis Center (DTRIAC) is to provide timely electronic access to all nuclear weapons test data, legacy and current, to U.S. government programs supporting U.S. nuclear deterrent missions. DTRIAC maintains a repository of over 20,000 films, two million photographs, and 60 million pages of documents dating back to The Manhattan Project. Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.

The Software Engineer/Developer works within a team of software engineers, data scientists and application architects to apply Optical Character Recognition (OCR), Machine Learning (ML), and Artificial Intelligence (AI) to search and/or organize and characterize a digital archive collection and develop improvements to the user interface and searchability of the archive. The successful candidate will be experienced in developing Machine Vision solutions and implementing OCR technologies.

DESCRIPTION OF RESPONSIBILITIES:

  • Develop and implement methodologies and infrastructure for the extraction, cleaning, organization and discoverability of information through OCR and ML from all media types in the collection.
  • Transition ASD methodologies for routine execution and provide analysis leveraging ASD capabilities.
  • Apply ASD-developed tools and methodologies to process the digital collection in a production mode.
  • Develop and implement methods for, and configurations of, the Data Lake to support navigation, search, insertion, or extraction of information or files by the government or other performers without requiring proprietary software, tools, or data other than widely available commercial-off-the-shelf (COTS) tools, and software that can be authorized for use on government IT systems.
  • Develop, maintain, and improve capabilities, such as scripting, to efficiently perform maintenance, synchronization, and production processing of data in the Data Lake on Windows- and Linux-based IT systems, including HPCMP clusters.
  • Develop a software tool for routinely exporting and continuously synchronizing STARS-C to the Data Lake.
  • Implement, configure, perform functional testing, perform cybersecurity, and operate the data and applications of the ASD environment as a hosted capability on government IT systems.
  • Leverage the collection, capabilities, and team to perform targeted analyses and studies and to provide dedicated support to missions and end users.
  • Create documentation or training materials for Project Products.
  • Support integration or hosting of capabilities or products on government IT systems.
  • Hold and participate in Gate Reviews.
  • Other duties as assigned.

DEGREE/EDUCATION/CERTIFICATION REQUIREMENT:

  • Current Security Certification or equivalent required

REQUIRED SKILLS AND EXPERIENCE:

  • 5 years relevant experience
  • Proficiency with Python programming language, C , and C# required.
  • Experience with OCR and Machine Learning technologies and methodologies required.
  • Experience and demonstrable proficiency with OpenCV is desirable.
  • Experience/Proficiency with utilizing Tesseract OCR with Python is desirable.
  • Experience in developing and implementing Recurrent Neural Networks (RNN) algorithms and integrating Long Short Term Memory (LSTM) highly desirable.
  • Experience with Academy of Color Encoding System (ACES) Developer Tools for integrating data specifications into software and hardware a plus.

DESIRED SKILLS:

  • Experience with the following types of tools a plus: SAS, Apache Hadoop, Tableau, TensorFlow, BigML, Knime, RapidMiner, Apache Flink, DataRobot, Apache Spark, MongoDB, Trifacta, Minitab, Apache Kafka, QlikView, SPSS, Keras, Matplotlib, Pytorch, scikit-learn, Weka, Domino Data Science Platform, IBM Watson Studio, and Google Cloud AI Platform

REQUIRED CITIZENSHIP AND CLEARANCE:

  • Ability to obtain Secret Clearance Required

The Alaka`ina Foundation Family of Companies (FOCs) is a fast-growing government service provider. Employees enjoy competitive salaries. Eligible employees enjoy a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid time off; and 10 paid holidays.

We are an Equal Opportunity/Affirmative Action Employer. We are proud to state that we do not discriminate in employment decisions on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. If you are a person with a disability and you need an accommodation during the application process, please click here to request accommodation. We E-Verify all employees.

The Alaka`ina Foundation Family of Companies (FOCs) is comprised of industry-recognized government service firms designated as Native Hawaiian Organization (NHO)-owned and 8(a) certified businesses. The Family of Companies (FOCs) includes Ke`aki Technologies, Laulima Government Solutions, Kūpono Government Services, and Kapili Services, Po`okela Solutions, Kīkaha Solutions, LLC, and Pololei Solutions, LLC. Alaka`ina Foundation activities principally benefit the youth of Hawaii through charitable efforts which includes providing innovative educational programs that combine leadership, science & technology, and environmental stewardship.

For additional information, please visit www.alakainafoundation.com

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Job Summary

JOB TYPE

Full Time

POST DATE

08/20/2022

EXPIRATION DATE

12/12/2022

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