AI Infrastructure Engineer: Scale GPU ML Pipelines
Akkodis
Town of Florida (NY)
On-site
USD 125,000 - 130,000
Full time
14 days+
Application generator
Turn this role into an interview — a resume and cover letter built around what this employer wants.
Get past ATS filters
Benefits offered by this job
401(k) with match
Comprehensive medical insurance (PPO, HSA)
Dental insurance (PPO)
Vision assistance
Paid Time Off
Paid Holidays Off
Job summary
A leading technology company is seeking an experienced AI Infrastructure Engineer for a Direct Hire role located in New York, NY. The ideal candidate should have a strong financial services background and experience with NVIDIA AI infrastructure. Responsibilities include deploying containerized workloads, automating infrastructure operations, and ensuring platform reliability. Educational requirements include a Bachelor's degree with at least 8 years of experience. Competitive salary range is offered, alongside comprehensive benefits.
Qualifications
8-10 years of related experience required, experience in the financial services industry is a plus.
Familiarity with GPU resource management.
Exposure to hybrid GPU environments.
Responsibilities
Support enterprise-grade NVIDIA AI infrastructure for ML/AI.
Deploy and monitor AI workloads using Kubernetes and Docker.
Automate infrastructure operations using Python and Terraform.
Skills
Linux administration (RHEL/Ubuntu)
Container orchestration (Kubernetes, Docker)
Infrastructure automation (Terraform, Ansible)
Python scripting
Networking fundamentals
Analytical and troubleshooting skills
Effective communication
Education
Bachelor's degree in computer science or related discipline
Tools
GitLab CI
Jenkins
NVIDIA GPU Operator
AWS
GCP
Azure
Job description
A leading technology company is seeking an experienced AI Infrastructure Engineer for a Direct Hire role located in New York, NY. The ideal candidate should have a strong financial services background and experience with NVIDIA AI infrastructure. Responsibilities include deploying containerized workloads, automating infrastructure operations, and ensuring platform reliability. Educational requirements include a Bachelor's degree with at least 8 years of experience. Competitive salary range is offered, alongside comprehensive benefits.