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Python Ai Ml Jobs in Phoenix, AZ (NOW HIRING)

Principal AI Engineer

Phoenix, AZ · On-site

$200 - $250/hr

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

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Python Developer

Phoenix, AZ · On-site

$50 - $55/hr

Experience working with AI/ML or data engineering applications is a plus. Key Responsibilities: * Design, develop, test, and maintain scalable Python applications and backend services. * Develop and ...

Python Developer

Phoenix, AZ · On-site

$125 - $150/hr

Experience working with AI/ML or data engineering applications is a plus. Key Responsibilities * Design, develop, test, and maintain scalable Python applications and backend services. * Develop and ...

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

Develop scalable Python applications, backend services, and enterprise integrations * Optimize AI/ML models for real-world healthcare operations and patient care * Write advanced SQL queries to ...

Write production-grade Python and PySpark scripts for complex ETL/ELT transformations, data ... AI/ML Alignment: Partner with cross-functional teams to support and integrate data models designed ...

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Python Ai Ml information

See Phoenix, AZ salary details

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$58

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How much do python ai ml jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python ai ml in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What job categories do people searching Python Ai Ml jobs in Phoenix, AZ look for?

The top searched job categories for Python Ai Ml jobs in Phoenix, AZ are:

Infographic showing various Python Ai Ml job openings in Phoenix, AZ as of June 2026, with employment types broken down into 3% As Needed, 86% Full Time, 5% Part Time, 3% Temporary, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.

Senior Data Scientist: Generative AI & ML Ops in Production

Koantek LLC

Chandler, AZ • On-site

$100 - $125/hr

Other

Re-posted 2 days ago


Job description

Chandler, United States | Posted on 05/21/2026

Job Title:Data Scientist / Senior Data Scientist

Job Description:

We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have hands-on expertise in developing AI-driven solutions, building predictive models, and deploying scalable machine learning applications into production environments.

Key Responsibilities:

  • Design, develop, and implement Generative AI solutions including chatbots and AI assistants.
  • Work with frameworks such as LangChain and related LLM orchestration tools.
  • Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting.
  • Develop end-to-end ML pipelines and support deployment of models into production environments.
  • Collaborate with cross-functional teams to identify business problems and translate them into scalable AI/ML solutions.
  • Monitor, maintain, and improve model performance and reliability.
  • Work with structured and unstructured datasets to derive actionable insights.

Required Skills:

  • Strong experience in Generative AI and Large Language Model (LLM) applications.
  • Hands-on experience with LangChain or similar AI orchestration frameworks.
  • Solid understanding of Machine Learning concepts including:
    • Predictive Modeling
    • Classification
    • Regression
    • Time Series Analysis
  • Experience with ML Ops practices and deploying machine learning models into production.
  • Proficiency in Python and common data science libraries/frameworks.
  • Experience with cloud platforms and modern AI/ML toolsets.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

  • Experience with Databricks is a plus.
  • Familiarity with cloud-based AI/ML environments.

Experience Required:

  • 5+ years of experience in Data Science, Machine Learning, or AI-related roles.
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