Artificial Intelligence Architect
Job Type
Full-Time Regular
Full-Time Regular
Location
Herndon VA
Herndon VA
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Salary: Negotiable (Six Figures)
Location: VA/MD/D.C. (relocation assistance provided) - Remote home based office
Benefits: Full benefits offered
Clearance/Citizenship: No clearance necessary but must be U.S. citizen
Our client is looking for an Artificial Intelligence Architect that is a subject matter expert in machine and deep learning. The company serves as a trusted advisor to derive value and insight from some of the largest and most demanding data sets in the world. You will source, create, and market end-to-end AI solutions in this position.
Proficiency in core AI hardware/software, including Jupyter/Zeppelin notebooks, Tensorflow, Torch, Caffe, Theano, Mahout, Keras as well as NVIDIA GPU Tesla architecture and its application to AI solutions.
Experience in analytics solutions and related technologies (Hadoop, NoSQL, ElasticSearch, Enterprise Data Warehousing, shared-nothing architecture, Kibana/Dashboarding, SQL)
Salary: Negotiable (Six Figures)
Location: VA/MD/D.C. (relocation assistance provided) - Remote home based office
Benefits: Full benefits offered
Clearance/Citizenship: No clearance necessary but must be U.S. citizen
Our client is looking for an Artificial Intelligence Architect that is a subject matter expert in machine and deep learning. The company serves as a trusted advisor to derive value and insight from some of the largest and most demanding data sets in the world. You will source, create, and market end-to-end AI solutions in this position.
Proficiency in core AI hardware/software, including Jupyter/Zeppelin notebooks, Tensorflow, Torch, Caffe, Theano, Mahout, Keras as well as NVIDIA GPU Tesla architecture and its application to AI solutions.
Experience in analytics solutions and related technologies (Hadoop, NoSQL, ElasticSearch, Enterprise Data Warehousing, shared-nothing architecture, Kibana/Dashboarding, SQL)
While the AI Architect will be responsible for the technical makeup and direction of the AI practice, they will also lead customer-facing pre-sales engagements with a hands-on approach to solving problems and removing roadblocks for our customers. They will leverage internal engineering and sales resources to drive successful outcomes in all phases of the engagement, including on-site technical work when needed.