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Nlp Engineer Jobs in Arizona (NOW HIRING)

Conch Technologies Inc

AI/ML NLP Engineer

Phoenix, AZ · On-site

AI/ML NLP Engineer Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) Duration: 12+ Months Contract Required Skills We are seeking experienced Software Engineers with ...

Conch Technologies Inc

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Avaya Engineer ( AI/ML ) Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a ... Hands-on experience with AI/ML and Natural Language Processing (NLP) * Experience working with ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Develop models for NLP, classification, clustering, anomaly detection, and predictive analytics ... Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn * Hands-on ...

IntraEdge

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... NLP (NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud ... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation ...

Saransh Inc

Kotlin - Backend Developer

Phoenix, AZ · On-site

Integrate GenAI/NLP pipelines for intent parsing, process matching, and intelligent decisioning. * Champion developer experience (DX) through tooling, CI/CD improvements, and observability. * Mentor ...

IntraEdge

GEN AI Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

... NLP In-depth knowledge of machine learning alogrithms, software architecture, libraries and frameworks to create AI that accomplishes outlined goals Rigorous knowledge of Python programming to ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: AI ML Engineer Job Location: Charlotte, NC / Phoenix, AZ Job Type: Contract ... Experience with Natural Language Processing NLP * Familiarity with geospatial data and mapping ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

Forhyre

Test Automation - Manager

Phoenix, AZ

$45.75 - $60.25/hr

... ML/NLP Testing, PTF, RPA Testing, SAP Worksoft, Service Now, Talos, Test complete, Tosca, UFT ... Drive the adoption of best software engineering practices including CI/CD and automated testing.

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and ... NLP, information extraction, classification, and generation. * Apply parameter-efficient fine ...

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Nlp Engineer information

See Arizona salary details

$34K

$100K

$128.1K

How much do nlp engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for nlp engineer in Arizona is $99,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $126,700.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for an NLP Engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the Nlp Engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

What does an NLP Engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and linguistics. It is a growing field with high demand in industries like tech, healthcare, and finance, offering competitive salaries and opportunities for advancement. Success in this career typically involves continuous learning and proficiency with tools like Python and frameworks such as TensorFlow or PyTorch.

What does an NLP engineer do?

An NLP engineer develops and implements algorithms that enable computers to understand, interpret, and generate human language. They work with machine learning models, natural language processing tools, and programming languages like Python to build applications such as chatbots, language translation, and sentiment analysis systems.

What engineers make 500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and stock options or bonuses. Roles in technology companies, finance, or startups with equity offerings are more likely to reach this compensation level.

What is the salary of NLP engineer?

The average salary of an NLP engineer in the United States ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and natural language processing tools may earn higher compensation.
What are the most commonly searched types of Nlp Engineer jobs in Arizona? The most popular types of Nlp Engineer jobs in Arizona are:
What are popular job titles related to Nlp Engineer jobs in Arizona? For Nlp Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Nlp Engineer jobs in Arizona look for? The top searched job categories for Nlp Engineer jobs in Arizona are:
Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in Arizona as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $99,974 per year, or $48.1 per hour.
AI/ML NLP Engineer

AI/ML NLP Engineer

Conch Technologies Inc

Phoenix, AZ • On-site

Contractor

Posted 8 days ago

Job description

Hi
 
Greetings from Conch Technologies
 
Position: AI/ML NLP Engineer
Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) 
Duration: 12+ Months Contract 
Required Skills 

We are seeking experienced Software Engineers with strong expertise in Python or Java development and hands-on experience building AI-powered Contact Center solutions.

Must-Have Experience 
  • Strong development experience in Python and/or Java
  • Experience with API development and Microservices Architecture
  • Hands-on experience with AI/ML and Natural Language Processing (NLP)
  • Experience working with GitHub, GitHub Actions, and CI/CD pipelines
  • Experience with Five9 Contact Center Platform
  • Experience with contact center call routing and orchestration
  • Hands-on experience with:
    • Google Cloud Platform (GCP)
    • Google Contact Center AI (CCAI)
    • Google Intelligent Virtual Agent (IVA)
    • Voice Analytics and Conversational AI solutions
Preferred Experience 
  • Contact center technologies such as:
    • Avaya
    • Cisco Contact Center
    • LivePerson
  • Experience designing and supporting IVR and call-routing solutions
  • Experience integrating AI-driven voice and chat platforms into enterprise environments
Key Responsibilities 
  • Design, develop, and support AI-powered contact center applications
  • Build scalable APIs and microservices using Python or Java
  • Implement NLP, AI/ML, and conversational AI capabilities
  • Integrate Five9 and Google CCAI/IVA solutions with enterprise systems
  • Enhance call routing, voice analytics, and customer engagement experiences
  • Support DevOps processes utilizing GitHub, GitHub Actions, and CI/CD pipelines
Ideal Candidate 

A strong software engineer with deep Python/Java expertise and hands-on experience in Contact Center technologies, particularly Five9, Google CCAI/IVA, NLP, AI/ML, APIs, and Microservices.

With Regards,

Teja Kumar P
Desk: 380-999-9014
Email: teja.p@conchtech.com  
Web: www.conchtech.com