Senior AI/ML Engineer

Job Title: Senior AI/ML Engineer – SLM Optimization & Inference Position Summary 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. - Strong Python programming and ML engineering skills. - Proven ability to benchmark, debug, and optimize models for production environments. - Experience fine-tuning and deploying Alibaba Qwen models is preferred. - Experience with real-time audio AI, speech recognition, ASR, or audio classification is preferred. - Experience optimizing AI models for high-throughput, low-latency production environments is preferred. - Ability to work hands-on across both SLM model training/fine-tuning and GPU inference optimization. - Strong collaboration skills with the ability to partner effectively across engineering and data teams. Compensation and Benefits - The base salary for this position is $144,964-$171,321 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. - Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days. Additional Information - The deadline to apply for this position is: 11/04/2026. - This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible. - As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role. - Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law. If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies. - #LI-Remote - #Concentrix - Location: USA, NE, Work-at-Home - Language Requirements: - Time Type: Full time - Physical and Mental Requirements: The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature. - Equal Employment Opportunity: Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color