Senior LLM Engineer

Centox AI; Islamabad; Presencial; PKR 2 000 000 - 4 500 000; Tempo integral

Resumo da oferta

Centox AI in Islamabad is seeking a Senior LLM Engineer to design and implement production-grade LLM pipelines, spanning fine-tuning to inference optimization. You will collaborate with research and product teams to ship AI-powered features used by users daily.

The role emphasizes building scalable MLOps infrastructure and owning end-to-end delivery of ML systems from prototype to production within an AI-driven product team.

Qualificações

• Design and build production-grade LLM pipelines
• Collaborate with research and product teams to ship AI-powered features
• Architect scalable MLOps infrastructure using vLLM, TensorRT, and LoRA adapters

Responsabilidades

• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization.
• Collaborate with research and product teams to ship AI-powered features that users interact with daily.

Conhecimentos

LLM pipelines

MLOps

vLLM

TensorRT

LoRA adapters

Ferramentas

vLLM

TensorRT

LoRA adapters

Descrição da oferta de emprego

Job post for Senior LLM Engineer in Islamabad

What You'll Do

• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.

Responsibilities

• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to- end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.

Who You Are

• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to- end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to- end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to- end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to- end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.

Benefits & Compensation

• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to- end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
• Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to- end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.