Marathon TS ยท 23 hours ago
Sr. Data Architect
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Information ServicesProfessional Networking
Insider Connection @Marathon TS
Responsibilities
Design tools and methodologies for processing digital collections in a production mode.
Develop and implement methods for the Data Lake to support navigation, search, insertion, or extraction of information.
Maintain and improve capabilities for efficient data processing on Windows- and Linux-based IT systems.
Implement and operate the Advanced Search and Discovery environment as a hosted capability on government IT systems.
Perform targeted analyses, studies, and provide support to missions and end users.
Create documentation and training materials for Project Products.
Support integration or hosting of capabilities or products on government IT systems.
Participate in Gate Reviews.
Perform other duties as assigned.
Qualification
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Required
5 years relevant experience
Experience building and maintaining secure, end to end systems and services
Experience building and working with data pipelines and large data sets
Experience with schema design and data modeling
Deep understanding of algorithms and efficient data structures
Current Security Certification or equivalent required
Proficiency with Python programming language, C, SQL, and C# required
Experience with OCR and Machine Learning technologies and methodologies required
Preferred
Experience and demonstrable proficiency with OpenCV and PostgresDB 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
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, Julia, SPSS, Keras, Matplotlib, Pytorch, scikit-learn, Weka, Domino Data Science Platform, IBM Watson Studio, and Google Cloud AI Platform