Senior AI/ML Engineer – SLM Optimization & Inference at Concentrix in Work-at-Home, NE

Job description

Job Title: Senior AI/ML Engineer – SLM Optimization & Inference Job Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures. Position Summary Senior AI/ML Engineer – SLM Optimization & Inference We are looking for a hands-on Senior AI/ML Engineer to fine-tune, optimize, and deploy Small Language Models, with a focus on Alibaba Qwen models and production-ready inference performance. In this role, you will help improve model quality, latency, throughput, and GPU efficiency while contributing to real-time audio intelligence pipelines for high-performance, low-latency applications. This is an opportunity for a senior-level AI/ML engineer who enjoys working close to the model, the infrastructure, and the performance benchmarks—building scalable ML systems that are ready for production. 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. Qualifications Strong hands-on experience with PyTorch, Hugging Face Transformers, and LLM/SLM fine-tuning techniques such as LoRA, QLoRA, and PEFT. Practical experience using vLLM or SGLang for high-performance model inference. Deep understanding of GPU utilization, CUDA fundamentals, KV caching, and memory optimization. Experience evaluating and improving model precision, recall, latency, throughput, and inference performance. Stro