IT Engineer with Machine Learning

Herndon, VA 20170

Post Date: 07/12/2018 Job ID: 30287 Industry: Information Technology

We are looking for a IT Engineer with Machine Learning experience. The details of the requirement are given hereunder.


Professional software development experience including all phases of SDLC 
o Development experience using Java/JEE technologies 
o Continuous Integration / Continuous Deployment (CI/CD) 
o Expertise in various flavors of Unix, specifically Linux 
o Expertise in SCM concepts (code lines, branching, merging, integration, versioning, etc.) 
o Develop sound version control best practices based on AWS CM systems, AWS SAM Deployment 
o Strong scripting and automation using shell, Ruby, Perl, Python, etc. 
o Strong automation skills using systems configuration management tools such as Chef, Puppet, Docker, etc. 

o Strong SQL, PL/SQL skills in RDBMS, Oracle, SQLServer 
o Hands on experience in managing performance test tools infrastructure 
o Experience with Infrastructure as Code (e.g. Puppet, Shell scripting), software build tools (Maven, ANT, Shell) and continuous integration tools (Jenkins, Hudson), and infrastructure automation (VM Ware, Chef, etc.) 
o Extensive hands on experience in application monitoring and tuning 
o Expertise in AWS Cloud, Docker and VMware Virtualization technologies 

Required experience must include: 
o 4-7+ years of professional software development experience 
o 4+ years of Java/JEE experience 
o 4+ years Continuous Integration / Continuous Deployment (CI/CD) 

o Strong AWS DevOps Experience including 
o AWS CodeBuild, AWS CodeCommit, AWS CodePipeline 
o AWS Lambda 
o API Gateway 
o AWS CLI/Yaml/CloudFormation 
o Serverless Deployment 

o Strong experience developing Infrastructure as Code scripts 
o Strong backend development experience including 
o NoSQL Databases 

Must Have: 
• Excellent problem solving, analytical skills and technical troubleshooting skills 
• Strong verbal and written communication skills 
• Ability to work independently as well as part of a team 
Hands-on experience with NLP, mining of structured, semi-structured, and unstructured data
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