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Ai Ml Python Developer Jobs in Arizona (NOW HIRING)

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch ... As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML ...

Judge Group, Inc.

AI/ML Engineer (GenAI)

Chandler, AZ · On-site

Our client is currently seeking a skilled AI/ML Software Engineer to support their Information ... Service development with Java, C#, or Python * Service orchestration and testing * Understanding of ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

AI ML Engineer Job Location: Charlotte, NC / Phoenix, AZ Job Type: Contract ... Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine Learning ...

YO AI Labs

AI/ML Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ... Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews ...

IntraEdge

GEN AI Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

... ML models, focusing on Generative AI, LangChain and NLP In-depth knowledge of machine learning ... Rigorous knowledge of Python programming to develop software. Java is a plus. Skillful in ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and ... NET/Python) development, API design (REST/GraphQL), and microservices architecture. * Cloud ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain ... ML frameworks including XGBoost and PyTorch for model development and training Design and optimize ...

Intraedge

Python Software Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Python Software Developer Long term Contract Phoenix, AZ (Hybrid-3 days onsite) Note: Need only ... Exposure to Generative AI (Gen-AI) is also expected. Key Responsibilities · Design, develop, and ...

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Ai Ml Python Developer information

What is the difference between Ai Ml Python Developer vs Data Scientist?

AspectAi Ml Python DeveloperData Scientist
Required SkillsPython, Machine Learning, AI frameworks, coding, deploymentPython, Statistics, Data Analysis, Machine Learning, Visualization
Work EnvironmentDevelopment, coding, model deployment in tech teamsData analysis, research, reporting in various industries
Common Industry UsageAI product development, automation, machine learning solutionsData analysis, business insights, predictive modeling

While both roles involve Python and machine learning, Ai Ml Python Developers focus on building and deploying AI models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ mainly in their primary focus: development versus analysis.

Infographic showing various Ai Ml Python Developer job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ • On-site

IntraEdge
IT Services • 1 - 5K employees
Learn more about IntraEdgeexternal

$105K - $145K/yr

Full-time

Re-posted 22 days ago

Key responsibilities

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services.

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management.

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP.

Job description

Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)

  • Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams


Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)

  • Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams

Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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