AI/Machine Learning Engineer

at Sparibis
Published December 31, 2022
Location Orlando, United States of America
Category Machine Learning  
Job Type Full-time  

Description

Location: 100% remote

Years’ Experience: 5+ years

Education: Bachelors in IT related field

Work Authorization: Must be a United States Citizen

Clearance: Must be able to obtain and maintain a Public Trust Clearance

 

Key Skills:

 

  • Must have strong architecture and design experience including at least (3) years of experience deploying production enterprise applications in AWS that use AI/ML
  • 5+ years of experience focusing on AI/ML development projects, DevSecOps, and Technical Architecture
  • Experience with AI/ML tools such as MXNet, Keras, MS Cognitive Services, OpenCV, SciKit-Learn and/or Tensorflow
  • Object-Oriented programming knowledge
  • Knowledge of CI/CD frameworks such as Jenkins, Docker, Terraform, Cloudformation, etc

 

Responsibilities

 

  • Serve as AI/ML Engineer – will be responsible for the development and technical architecture of production enterprise applications that are hosted in an AWS environment
  • Software development with Java, JavaScript, and various scripting languages
  • Design data models and web APIs and creation of software tasks from system requirements
  • Perform requirements analysis, design, development, unit, and integration testing of software, troubleshooting and debugging of the system
  • Immediate responsibilities will include enhancing and maintaining the existing system as well as design, development, and documentation of new features
  • Usage of Atlassian Tools for day to day tasks within the Scrum process
  • Implement web services, data persistence access features and external interfaces
  • Partner closely with front-end and database engineers to ensure features are developed holistically
  • Follow Agile software development methodology and team architecture standards.

 

Qualifications

 

  • 5+ years of experience
  • Must have strong architecture and design experience including at least (3) years of experience deploying production enterprise applications in AWS that use AI/ML
  • Experience in large-scale, high performance enterprise big data application deployment and solutions architecture in AWS
  • 5+ years of experience focusing on AI/ML development projects, DevSecOps, and Technical Architecture
  • Experience with AI/ML tools such as MXNet, Keras, MS Cognitive Services, OpenCV, SciKit-Learn and/or Tensorflow
  • Experience with Java, Spring, JavaScript, AngularJS, and/or Swift preferred
  • Experience designing and building web application environments on AWS including services such as EC2, S3, Lambda, ELB, ECS, EKS etc.
  • Experience with CI/CD frameworks (ie. Jenkins, Docker, Ansible, Chef, Puppet)
  • Demonstrated understanding of IT management, administration, applications and system development lifecycles within a substantial IT environment.