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AI Platform Engineering and MLOps​/LLMOps Resident - Strong exp in NIM, Triton, NeMo, RAPIDS and GPU placement

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Avensys Consulting
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 250000 - 450000 SAR Yearly SAR 250000.00 450000.00 YEAR
Job Description & How to Apply Below
Position: AI Platform Engineering and MLOps/LLMOps Resident - Strong exp in NIM, Triton, NeMo, RAPIDS and GPU placement and

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation, and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are hiring for "AI Platform Engineering and MLOps/LLMOps Resident - Strong exp in NIM, Triton, NeMo, RAPIDS and GPU placement and CI/CD or Git Ops and environment promotion" for Riyadh KSA

Experience - 8 + Years

Job Summary:
  • NIM, Triton, NeMo, and RAPIDS
  • Model registries and model/prompt/version traceability
  • CI/CD or Git Ops and environment promotion
  • Model evaluation, approval gates, monitoring, rollback, and retirement
  • RAG, embeddings, vector indexes, document processing, and retrieval evaluation
  • Endpoint observability, security controls, and service-level measures
  • AI developer enablement and production-readiness coaching
  • Define reusable NIM and Triton deployment patterns across the H200 and L40S pools.
  • Establish templates for model packaging, endpoint configuration, resource requests, GPU placement, health checks, logging, metrics, security controls, and rollback.
  • Support controlled model customization and fine-tuning workflows using NeMo on dedicated H200 capacity.
  • Use RAPIDS where appropriate for GPU-accelerated data preparation, embeddings, document processing, and related pipeline stages.
  • Define the governed model lifecycle: experiment, register, evaluate, approve, deploy, monitor, rollback, and retire.
  • Establish evaluation gates for quality, grounded-answer rate, latency, concurrency, availability, safety, and operational readiness.
  • Define CI/CD or Git Ops patterns for repeatable promotion between development, validation, and production environments, subject to MOJ standards.
  • Create RAG and document-intelligence onboarding patterns covering data approval, ingestion, chunking, embeddings, vector indexes, access control, and rollback.
WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

CONSULTANT DETAILS

EA Licence 12C5759

Privacy Statement:
Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

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