Remote Senior AI/ML Engineer — Real-Time SLM Inference

CNX; Oregon; Híbrido; USD 145.000 - 171.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off

Paid holidays

Paid learning days

Descripción de la vacante

Concentrix invites a hands-on Senior AI/ML Engineer to fine-tune and deploy Small Language Models, focusing on Alibaba Qwen and real-time inference performance. You will improve model quality, latency, throughput, and GPU efficiency for high-performance, low-latency applications.

You will work close to the model, infrastructure, and benchmarks, building scalable ML systems ready for production and collaborating with data teams to drive end-to-end performance improvements.

Formación

• Hands-on experience with PyTorch and LLM fine-tuning.
• Experience with vLLM or SGLang for high-performance inference.
• Strong CUDA/GPU memory optimization knowledge.
• Experience deploying production ML systems.
• Experience fine-tuning Alibaba Qwen models preferred.

Responsabilidades

• Fine-tune and optimize Small Language Models, particularly Alibaba Qwen models, for domain-specific use cases.
• Improve model performance across key metrics, including accuracy, precision, recall, latency, and inference throughput.
• Optimize model serving using vLLM, SGLang, or similar high-performance inference engines.
• Implement advanced inference optimization techniques, including GPU memory optimization, KV-cache management, quantization, and efficient batching.
• Develop, enhance, and optimize real-time audio intelligence pipelines for low-latency processing.
• Benchmark, profile, and tune models for production-scale deployment.
• Collaborate with engineering and data teams to evaluate model behavior, identify bottlenecks, and improve end-to-end ML system performance.
• Build reliable, scalable ML workflows that support high-throughput, low-latency AI applications.
• Apply senior-level technical judgment to balance model quality, infrastructure efficiency, and production performance requirements.

Conocimientos

PyTorch

Hugging Face Transformers

LoRA/QLoRA/PEFT

vLLM/SGLang

CUDA & GPU optimization

Python

Production ML engineering

Herramientas

CUDA

Descripción del empleo

Concentrix invites a hands-on Senior AI/ML Engineer to fine-tune and deploy Small Language Models, focusing on Alibaba Qwen and real-time inference performance. You will improve model quality, latency, throughput, and GPU efficiency for high-performance, low-latency applications.

You will work close to the model, infrastructure, and benchmarks, building scalable ML systems ready for production and collaborating with data teams to drive end-to-end performance improvements.