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AI Systems Engineer

2 months ago

Charleston, West Virginia, United States Yoh, A Day & Zimmermann Company Full time

Company: Yoh, A Day & Zimmermann Company

Position: Machine Learning Engineer

Compensation: $67.00-$78.00/hour (based on experience)

Employment Type: Contract

Sector: Government Technology

Key Responsibilities:

  • Establish, configure, and manage Linux servers to ensure optimal performance, security, and stability.
  • Design and implement AI models utilizing AWS AI services such as SageMaker, Rekognition, and Comprehend.
  • Collaborate with data scientists and engineers to seamlessly integrate machine learning solutions.
  • Create and manage containerized applications using AWS Cloud Containerization services (including ECS and EKS) and Docker.
  • Develop CI/CD pipelines to automate deployment and scaling processes.
  • Work with cross-functional teams to identify project requirements and deliver comprehensive solutions.
  • Maintain thorough documentation of system configurations, processes, and best practices.
  • Provide technical mentorship and support to junior team members.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years of experience in a Linux Engineering role or similar position.
  • Expertise in deploying and managing AWS AI services and machine learning models.
  • Advanced knowledge of containerization technologies, including AWS Cloud Containerization services and Docker.
  • Experience with CI/CD tools and methodologies.
  • Strong understanding of networking, security, and system architecture.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.
  • AWS Certified Solutions Architect or AWS Certified Machine Learning is preferred.
  • Familiarity with Kubernetes and other container orchestration tools is a plus.
  • Experience with infrastructure as code tools such as Terraform or CloudFormation is preferred.
  • Proficiency in scripting languages like Python or Bash is preferred.