JavaScript, Java Programming, Python Programming, SQL, AWS, Machine learning techniques, PyTorch, TensorFlow, Google Cloud Platform (GCP), Scikit-learn, Weka
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.
Join an exciting team enabling operational excellence. Your experience will enhance a dedicated group of professionals’ ability to conduct intelligence analysis. A willingness to innovate and create next generation, cloud native solutions is critical. The Cornerstone program is the go-to-solution at the heart of the national security mission. The Machine Learning Software Developer will focus on researching, building and designing self-running artificial intelligence (AI) systems to automate predictive models. Machine learning engineers design and create the AI algorithms capable of learning and making predictions that define machine learning (ML).
The ML engineer will work as part of the larger Cornerstone data science team and will communicate with data scientists, administrators, data analysts, data engineers and data architects. They may also communicate with people outside of their teams, such as with IT, software development, and/or web development teams. ML engineers act as a bridge between data scientists who focus on statistical and model-building work and the construction of machine learning and AI systems. The machine learning engineer role needs to assess, analyze and organize large amounts of data, while also executing tests and optimizing machine learning models and algorithms.
Qualifications
Required:
Desired:
Science Applications International Corporation, Inc. is an American company headquartered in Reston, Virginia that provides government services and information technology support.
Bethesda, MD, USA
2-4 year
Chantilly, VA, USA
2-4 year
Chantilly, VA, USA
2-4 year
Chantilly, VA, USA
2-4 year
Chantilly, VA, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Houston, TX, USA
2-4 year
Huntsville, AL, USA
2-4 year
Huntsville, AL, USA
2-4 year
Maryland, USA
2-4 year
Maryland, USA
2-4 year
United States
2-4 year
Virginia Beach, VA, USA
2-4 year
California, USA
2-4 year
Colorado Springs, CO, USA
2-4 year
Herndon, VA, USA
2-4 year
Maryland, USA
2-4 year
Virginia, USA
2-4 year
Virginia Beach, VA, USA
2-4 year
Virginia Beach, VA, USA
2-4 year
Reston, VA, USA
2-4 year
California, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Albuquerque, NM, USA
2-4 year
Point Mugu NAWC, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Fort Meade, MD, USA
10-12 year
McLean, VA, USA
10-12 year
Columbia, MD, USA
8-10 year
Arlington, VA, USA
8-10 year
Chantilly, VA, USA
12-14 year
MacDill Air Force Base, Tampa, FL, USA
6-8 year
Chantilly, VA, USA
6-8 year
Greenbelt, MD, USA
2-4 year
Greenbelt, MD, USA
4-6 year
Virginia Beach, VA, USA
4-6 year
Washington D.C., DC, USA
4-6 year
McLean, VA, USA
4-6 year
Fort Meade, MD, USA
4-6 year
Chantilly, VA, USA
4-6 year
McLean, VA, USA
10-12 year
McLean, VA, USA
4-6 year
Springfield, VA, USA
10-12 year
Reston, VA, USA
4-6 year
Chantilly, VA, USA
8-10 year
Chantilly, VA, USA
8-10 year
Fort Meade, MD, USA
8-10 year
San Diego, CA, USA
8-10 year
Omaha, NE, USA
6-8 year
Reston, VA, USA
0-2 year