Senior ML Engineer — Production AI Systems & Team Lead

Employment; Muscat; On-site; OMR 58,000 - 73,000; Full time

Job summary

Employment in Muscat is seeking a hands-on senior ML engineer to lead production-grade AI systems spanning LLMs, OCR, and voice, with technical ownership and leadership of a high-performing team of junior engineers. You will engage directly with stakeholders to shape AI solutions and drive robust implementation.

You will design, deploy, and operate scalable AI systems, own end-to-end model performance, and optimize for latency, throughput, and cost on GPU infrastructure.

Qualifications

• Proven experience deploying LLMs in production.
• Strong experience with GPU-based inference and optimization.
• Experience with MLOps and production ML systems.
• Experience with OCR/document AI and/or voice systems (STT/TTS).
• Experience with Docker and Kubernetes.
• Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows).
• Experience mentoring or leading engineers.
• Strong communication skills bridging business and technical domains.

Responsibilities

• Lead and mentor a team of junior ML engineers through code/design reviews and best practices.
• Design, deploy, and operate scalable AI systems with reliability and performance.
• Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice).
• Own model performance end-to-end with evaluation, observability, and hardware optimization.
• Architect and manage GPU infrastructure including serving, scaling, and tuning.
• Build and maintain robust MLOps pipelines with CI/CD and testing.
• Engage with clients to translate business needs into technical solutions and document progress.
• Contribute hands-on to system design, debugging, and incident resolution.

Skills

LLM deployment

GPU optimization

MLOps

OCR/Voice AI

Docker & Kubernetes

AI architectures

Team leadership

Communication

Tools

Docker

Kubernetes

Job description

Employment in Muscat is seeking a hands-on senior ML engineer to lead production-grade AI systems spanning LLMs, OCR, and voice, with technical ownership and leadership of a high-performing team of junior engineers. You will engage directly with stakeholders to shape AI solutions and drive robust implementation.

You will design, deploy, and operate scalable AI systems, own end-to-end model performance, and optimize for latency, throughput, and cost on GPU infrastructure.