AI Deployment Engineer

Efada Technology

Multiple VacanciesEmployer Active

Posted 8 hrs ago

Experience

2 - 7 Years

Job Location

Cairo - Egypt

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

2 Vacancies

Job Description

Roles & Responsibilities

Responsibilities

  • In this position, you'll be responsible for developing groundbreaking solutions that expand the horizons of AI infrastructure while significantly contributing to customer success with transformative AI projects!
  • Technical Deployment: Design and implement tailored AI solutions, including distributed training, inference optimization, and MLOps pipelines, in diverse customer settings.
  • Client Support: Deliver remote technical assistance to key clients, optimizing AI workloads, diagnosing performance problems, and guiding technical implementations through virtual collaboration.
  • Infrastructure Oversight: Deploy and manage AI workloads across DGX Cloud, customer data centers, and CSP environments using Kubernetes, Docker, and GPU scheduling systems.
  • Performance Enhancement: Analyze and enhance large-scale model training and inference workloads, implement monitoring solutions, and address scaling challenges.
  • Integration Development: Create custom integrations with client systems, develop APIs and data pipelines, and implement enterprise software connectivity.
  • User Documentation: Produce implementation manuals, documentation for troubleshooting methods, and best practices for complex AI deployments.

Desired Candidate Profile

Qualifications

  • 2-5 years of experience in customer-facing technical roles (Solutions Engineering, DevOps, ML Infrastructure Engineering).
  • A degree (BS, MS) in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
  • Strong expertise in Linux systems, distributed computing, Kubernetes, and GPU scheduling.
  • Experience with AI/ML, particularly in supporting inference workloads and large-scale training.
  • Proficient in programming with Python, and familiar with AI frameworks like PyTorch, TensorFlow, or similar.
  • Strong ability to engage with clients and work effectively with technical teams in high-pressure environments.

Preferred Qualifications

  • Familiarity with DGX systems, CUDA, NeMo, Triton, or NIM.
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP AI services.
  • MLOps experience, particularly with containerization, CI/CD pipelines, and observability tools.
  • Experience with Infrastructure as Code using Terraform, Ansible, or similar automation tools.
  • Background in integrating enterprise software with platforms like Salesforce, ServiceNow, or similar systems.

Company Industry

  • IT - Software Services

Department / Functional Area

  • IT Software

Keywords

  • AI Deployment Engineer

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Efada Technology

https://wuzzuf.net/jobs/p/vcmure4mgiky-ai-deployment-engineer-efada-technology-cairo-egypt