Senior AI/ML Engineer – SLM Optimization & Inference

Concentrix is hiring a Senior AI/ML Engineer to fine-tune, optimize, and deploy Small Language Models, particularly Alibaba Qwen models. The role focuses on production inference performance and real-time audio intelligence pipelines, improving model quality, latency, throughput, and GPU efficiency.

Responsibilities:

• 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