Overland Park, Kansas, United States of America
21 hours ago
Natural Language Processing Specialist

Job Title:

Natural Language Processing Specialist

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.

Job Title: Natural Language Processing (NLP) Specialist

Location: Overland Park, KS

Role Overview:
We are looking for an experienced NLP/NLU Specialist to join our AI team. The ideal candidate will have a strong background in Natural Language Understanding, particularly in building, deploying, and optimizing NLU models for tasks such as intent classification, entity recognition, and data labeling. This role requires hands-on expertise in data annotation, fine-tuning, and an iterative approach to model improvement. Experience in conversational AI and virtual assistant development, as well as proficiency with large language models (LLMs), is essential.

Key Responsibilities:

Design, build, and optimize NLU models for intent classification, entity extraction, and related tasks

Lead and manage data labeling and annotation projects, including guideline development and quality control

Fine-tune and adapt pre-trained language models to specific business domains and use cases

Analyze NLU model outputs and conduct error analysis for continuous performance improvement

Collaborate with cross-functional teams (engineering, product, QA) to deploy and monitor NLU models in production

Implement best practices for dataset management, annotation, and labeling workflows

Leverage LLMs and state-of-the-art NLP technologies to enhance conversational AI solutions and virtual assistants

Contribute to innovation in conversational interfaces by integrating advanced NLU/NLP components

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or related field

4+ years of hands-on experience in NLU/NLP development (intent classification, entity recognition, data annotation)

Proficiency in building and deploying language models using Python and frameworks such as TensorFlow, PyTorch, spaCy, or Hugging Face

Demonstrated expertise in data labeling, annotation tools, and best practices for dataset curation

Strong background in fine-tuning LLMs for specific use cases and business domains

Proven ability to iteratively improve NLU accuracy through testing and error analysis

Experience with conversational AI or virtual assistant technologies (e.g., Dialogflow, Rasa, Gemini, Alexa, Microsoft Bot Framework)

Strong communication and problem-solving skills

Preferred Qualifications:

Experience with multilingual NLP/NLU systems

Familiarity with cloud-based AI platforms (AWS, Azure, GCP)

Prior work in a consulting or client-facing environment

At Concentrix, we provide customer experience solutions that may involve handling sensitive data.  As part of our hiring process, all candidates must undergo a background check in accordance with applicable law, which will include identity verification and employment eligibility. 

The base salary range for this position is $91,457 - $137,186, 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. 

The position will be posted till 06/09/2025. 

Location:

USA Lenexa 14121 West 95th St., Santa Fe 95 Business Park

Language Requirements:

Time Type:

Full time


Physical & Mental Requirements: While performing the duties of this job, the employee is regularly required to operate a computer, keyboard, telephone, headset, and other office equipment. Work is generally sedentary in nature.

If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Concentrix is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets.

For more information regarding your EEO rights as an applicant, please visit the following websites:

•English

•Spanish

To request a reasonable accommodation please click here.

If you wish to review the Affirmative Action Plan, please click here.

Por favor confirme su dirección de correo electrónico: Send Email