Overview
Hybrid
$55 - $60
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
50% Travel
Skills
H2O
Artificial Intelligence
Machine Learning
AI/ML
Azure
Kubernetes
CI/CD pipelines
CI/CD
log analysis
automation tools
Terraform
Ansible
Helm
Job Details
Job Description:
Job Title: H2O AI Engineer
Location: Dallas, TX Hybrid
Employment Type: Contract
Duration: Long Term
Must Have: H2O, AI/ML (Artificial Intelligence/Machine Learning), Azure, Kubernetes, CI/CD pipelines, log analysis, automation tools like Terraform, Ansible and Helm.
About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients.
Your future duties and responsibilities:
- Design and develop deployment, automation, management, and maintenance of Azure cloud-based production systems.
- Ensure availability, performance, security, and scalability of various cloud production systems
- Management of creation, release, and configuration of production systems.
- Evaluate new technology alternatives and vendor products
- System troubleshooting and problem resolution across various application domains and platforms
- Pre-production acceptance testing for quality assurance
- Provision of critical system security by leveraging best practices and prolific cloud security solutions
- Provide recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS platform
- Design, maintain and manage tools for automation and machine learning processes
Required qualifications:
- Degree in computer science or information technology
- 5+ year's experience with cloud computing technologies, with a focus on Azure
- 5+ year's experience with Kubernetes for container orchestration and management
- 5+ year's experience with support procedures and methodologies for production computing environments
- Experience in designing, deploying, and managing production-grade machine learning workloads
- Experience automating routine tasks, including CI/CD pipelines and infrastructure provisioning
- Experience with automation tools like Terraform, Ansible and Helm for infrastructure provisioning and configuration management
- Experience with performance and log analysis
- Excellent interpersonal skills and written/verbal communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.