NVIDIA & AI INFRASTRUCTURE Consultant at Syncreon Consulting

Lake Mary, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Linux Administration, RHEL, Ubuntu, Shell Scripting, Kubernetes, Docker, NVIDIA GPU Operator, CI/CD, Terraform, Helm, Ansible, Python, ML/AI Pipeline Integration, Networking, Cloud Platforms, System Debugging

Industry

Truck Transportation

Description

Company Description We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies Job Description To be successful in this role, we’re seeking the following: Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred8-10 years of related experience required; experience in the securities or financial services industry is a plus. Experience with Linux administration (RHEL/Ubuntu), shell scripting, and system-level debugging. Proven experience running distributed systems in Kubernetes and containerized environments using Docker. Familiarity with GPU resource management, including NVIDIA GPU Operator and device plugin lifecycle. Experience with CI/CD workflows and infrastructure automation tools such as GitLab CI, Jenkins, Terraform, Helm, or Ansible. Knowledge of networking fundamentals and persistent storage systems. Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments. Ability to read and support Python code focused on ML/AI pipeline integration. Strong analytical and troubleshooting skills with a collaborative mindset. Effective communication skills and proactive ownership of platform reliability and performance.. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The consultant will manage and optimize NVIDIA GPU infrastructure and distributed systems within containerized environments. They are responsible for platform reliability, performance, and supporting ML/AI pipeline integration through automation and troubleshooting.