Senior AI/ML Engineer - SLM Optimization & Inference

Job Title:Senior AI/ML Engineer – SLM Optimization & Inference

Job Description
The intelligent transformation partner. 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. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. 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.
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.
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.
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.
Experience evaluating and improving model precision, recall, latency, throughput, and inference performance.
Strong Python programming and ML engineering skills.
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.
The base salary for this position is $ 144,964-$ 171,321 plus incentives that align with individual and company performance. 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.
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.
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 USA, NE, Work-at-Home

Language Requirements:

Full time
The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.
For more information regarding your EEO rights as an applicant, please visit the following websites:
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Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting

app.Artificial Intelligence:

As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role.