AI/ML & Big Data Engineers (multiple levels)
Location: Remote/travel to D.C.
At least 2 years of AI/ML using some of the tech stack below.
BigData Searching experience
DevSecOps experience is a huge plus.
The task for these positions is to do analysis for a government customer using Artificial Intelligence and Machine Learning. The majority of this will be done by scraping SharePoint sites and building algorithms with AI/ML to interpret the data.
The technology stack is listed below (not all of these are required, looking for a mix of people to bring these skills):
Apache Atlas, Apache Ranger, AWS (EC2, ECS, EMR, S3, ECR, RDS, CloudFormation, CloudWatch, CloudTrails, Lambda), Brakeman, ChaosMonkey, Docker, Elasticsearch, Fortify, GoldenGate, Hortonworks, Junit, Metacat, Neo4J, nTeract.io, New Relic, GraphDB, OWASP, RCov, RSpec, R Studio, Selenium, ServiceNow, SonarQube, sparkML, Splunk, TensorFlow, KNIME
Minimum of five (5) years of experience in the Information Technology field focusing on AI/ML development projects using DevSecOps and AWS cloud environments.
Possess strong full stack engineering, including at least three (3) years of experience deploying production enterprise applications in AWS that use AI/ML
At least three (3) years of specific software engineering related to front-end and back-end applications and or data services
Experience in large scale, high performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS
Must be eligible to obtain DHS EOD clearance required