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AI Solutions 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)

Type: Contract

Industry: Government Technology

Role Overview:

We are seeking a skilled Machine Learning Engineer with a robust background in Linux systems and a focus on cloud-based AI solutions. The ideal candidate will possess over 5 years of experience in Linux engineering, with a specialization in AWS technologies.

Key Responsibilities:

  • Configure, manage, and optimize Linux servers to ensure high performance and security.
  • Design and implement AI models utilizing AWS AI services such as SageMaker, Rekognition, and Comprehend.
  • Collaborate with data scientists and engineers to effectively integrate machine learning applications.
  • Establish and manage containerized applications using AWS Cloud Containerization services (including ECS and EKS) and Docker.
  • Create and maintain CI/CD pipelines to streamline deployment and scaling processes.
  • Work with cross-functional teams to gather project requirements and deliver comprehensive solutions.
  • Document system configurations, procedures, and best practices thoroughly.
  • Provide mentorship and technical guidance to junior team members.

Qualifications:

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