
Description
Description
SAIC has an opening for a Data Engineer to support an exciting program! You willsupport our customer by exploiting the data collected by an increasingly large and diverse array of sensors. This will be done at multiple levels of analysis and classification to support a diverse range of consumers. The qualified candidate must be able to work well in a group setting and have great communication skills. You will collaborate with multi-functional teams, and gain insight into our values-driven process.
Qualifications
- Must have obtained a technical Bachelor's Degree, and a TS/SCI and Poly clearance, prior to starting
- At least 1 year of relevant technical experience, which can be professional or academic
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Experience developing and deploying next generation UI/UX prototypes for analysis and exploitation of data
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Ability to develop and deploy improved data visualization prototypes to improve customer analytics via best of breed technologies
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Experience developing and deploying improved content management and distribution prototypes for various products
Desired Qualifications:
- Knowledge of basic machine learning concepts
- Knowledge of basic natural language processing (NLP)
- Knowledge of basic graph analysis
- Knowledge of spaCy, Elastic Search, Neo4j, Kibana, kafka, OLlama, Llama.cpp, Hugging Faces
- Previous internship or work experience
- Experience with web application development
- Experience with large data sets and data analytics
- Experience with any of the following: Python, Pandas, Spark, Hadoop, AWS (EMR, EC2, RDS, S3), Jupyter, Docker, SQL, R, Git
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