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Senior Natural Language Processing Engineer Jobs in Roxana, IL

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Senior Natural Language Processing Engineer information

See Roxana, IL salary details

$71.9K

$116.1K

$163.5K

How much do senior natural language processing engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for senior natural language processing engineer in Roxana, IL is $116,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $129,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by Senior Natural Language Processing Engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a Senior Natural Language Processing Engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a Senior Natural Language Processing Engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.
What cities near Roxana, IL are hiring for Senior Natural Language Processing Engineer jobs? Cities near Roxana, IL with the most Senior Natural Language Processing Engineer job openings:
Senior Natural Language Processing Engineer jobs near you
Infographic showing various Senior Natural Language Processing Engineer job openings in Roxana, IL as of June 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,147 per year, or $55.8 per hour.
AI Engineer (Agentic AI Experience)

AI Engineer (Agentic AI Experience)

CYNET SYSTEMS

Saint Louis, MO • On-site

$65/hr

Contractor

Posted 12 days ago

Be an early applicant

Job description

Job Overview:

Responsibilities:

  • Design, develop, and deploy AI and machine learning models for real-world applications.
  • Build and implement agentic AI workflows and multi-agent systems for production use cases.
  • Contribute to architecture and design of scalable AI solutions and intelligent systems.
  • Develop and optimize models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Work on AI techniques including natural language processing (NLP), computer vision, and advanced analytics.
  • Integrate AI solutions with big data platforms and cloud environments (AWS, Azure, Google Cloud).
  • Analyze large and complex datasets to extract insights and improve model performance.
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
  • Participate in Agile development processes, including sprint planning and stand-ups.
  • Maintain documentation and ensure best practices in AI development and deployment.

Required Qualifications:

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field, or Bachelor’s degree with 5+ years of experience.
  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong programming skills in Python or R.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience working with NLP, computer vision, or other AI techniques.
  • Familiarity with big data technologies such as Hadoop and Spark.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in Agile environments using tools like Azure DevOps or Scrum.

Must Have:

  • Hands-on experience building and deploying Agentic AI workflows in real-world projects.
  • Experience with modern multi-agent architectures.
  • Strong understanding of agentic frameworks and tools.
  • Ability to contribute to system architecture and design decisions.

Preferred Qualifications:

  • Relevant certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified, Azure Fundamentals).
  • Experience managing multiple AI projects simultaneously.
  • Strong organizational and collaboration skills.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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