Azure DevOps Engineer (AI/ML)
at Epam Systems
Desde casa, Yucatán, Mexico -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 22 Nov, 2024 | Not Specified | 28 Aug, 2024 | 1 year(s) or above | Python,Training,Information Technology,Computer Science | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Are you a skilled Azure DevOps Engineer with a passion for AI/ML and streamlining DevOps practices? Do you have experience in automating processes, creating efficient workflows, and staying updated with current industry trends? If so, we have an exciting opportunity for you! We’re currently seeking an Azure DevOps Engineer to join our vibrant team. This role offers the chance to collaborate closely with the Machine Learning Operations / App Dev, Platform Engineering, and Cloud Architecture teams. If you’re ready to take your career to the next level, we’d love to hear from you!
REQUIREMENTS
- Bachelor’s degree in software engineering, Computer Science, Information Technology preferred, or an equivalent combination of education, training, or experience
- Experience working in the Microsoft Azure cloud. Azure foundational certification preferred
- 2+ years’ experience in DevOps Engineering (Azure DevOps or similar CI/CD tool suite)
- 1+ years’ experience with Python or similar language
- 1+ years’ Hands-on experience in infrastructure provisioning tools like Terraform
Responsibilities:
- Design, build, and maintain the Infrastructure as Code (Terraform) for AI/ML-related projects
- Build and maintain release pipelines for AI/ML-related projects
- Optimize the architecture of AI/ML-related solutions, focusing on stability, performance, security, cost, and simplicity
- Understand networking concepts and practices within our Azure cloud presence
- Integrate AI/ML-related products’ code and release pipelines with security scanning tools (CheckMarx), APM/monitoring (Datadog), and code quality(SonarQube) tools
REQUIREMENT SUMMARY
Min:1.0Max:2.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Software engineering computer science information technology preferred or an equivalent combination of education training or experience
Proficient
1
Desde casa, Mexico