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Python Ml Developer Jobs in Arizona (NOW HIRING)

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on with Claude for AI ...

Lead Data Scientist

Prescott, AZ · On-site

$144K - $198K/yr

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on with Claude for AI ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Collaborate with ML Engineering to productionize models on Azure Technical Environment (Azure AI/ML ... Python, SQL * Libraries & Frameworks:Scikit- learn,XGBoost,LightGBM, Pandas, NumPy, NLP libraries

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on with Claude for AI ...

Expert level programming skills in Python and experience with Data Science and ML packages and frameworks * Proficiency with containerization technologies Docker Kubernetes and CICD practices

Senior AI Developer

Phoenix, AZ · On-site

$54 - $71.50/hr

Lead the design, development, and testing of full stack (frontend, backend, API) Python ... Design and develop AI/ML models for data analytics, prediction, and forecasting. Deploy and ...

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

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

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What job categories do people searching Python Ml Developer jobs in Arizona look for? The top searched job categories for Python Ml Developer jobs in Arizona are:
What cities in Arizona are hiring for Python Ml Developer jobs? Cities in Arizona with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Arizona as of July 2026, with employment types broken down into 86% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Software Engineer / Analyst II | Palo Verde

Software Engineer / Analyst II | Palo Verde

Arizona Public Service

Tonopah, AZ • On-site

Full-time

Re-posted 5 days ago


Arizona Public Service rating

8.4

Company rating: 8.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

Our present and future success depends on the creative and dedicated people of our company who demonstrate the principles outlined in the APS Promise: Design for Tomorrow, Empower Each Other and Succeed Together.
Summary
Software Engineer / Analyst II | Palo Verde
This role helps APS turn advanced AI and machine learning concepts into tools that teams can actually use. The IT Solutions Engineer / Analyst II works alongside AI and Machine Learning Engineers to translate models and ideas into reliable, usable applications that improve how work gets done across the company. By building the supporting software and integration layers around AI solutions, this role helps modernize workflows and supports APS's mission to deliver reliable, affordable energy to Arizona communities.
What Your Day Would Be Like:
  • Building and supporting backend and front-end software (full-stack) components that enable AI and machine learning solutions to be used by employees and customers
  • Partnering closely with AI/Machine Learning Engineers to turn models and concepts into functional applications and prototypes
  • Translating business needs into practical, working solutions that can be tested, refined, and improved
  • Integrating AI capabilities into existing systems, tools, and workflows to improve usability and adoption
  • Sharing feedback, insights, and lessons learned with cross-functional teams to help shape future solutions

Who We're Looking For:
  • Experience supporting or developing software applications that integrate machine learning or generative AI capabilities
  • Comfort working across the application lifecycle-from early concepts and prototypes through refinement and support
  • Strong collaboration skills and the ability to work effectively with AI/ML engineers and other technical partners
  • Curiosity and adaptability when learning new tools, platforms, and development approaches
  • A practical, outcome-focused mindset with attention to business impact and usability

Minimum Requirements
Software Engineer / Analyst II | Palo Verde
  • Bachelors' degree in Information Technology or related field
  • PLUS two (2) years of prior relevant experience or equivalent combination of education and directly related experience
  • OR (for positions in IT Digital Solutions Delivery) an advanced degree in Data Science, Data/Quantitative/Business Analytics or Economics, Mathematics or Engineering with a focus in Data Science is required.-
  • Requires basic technical subject matter knowledge within a job area or system

Preferred Special Skills, Knowledge or Qualifications:
  • Knowledge of Python including experience with libraries and frameworks relevant to ML/GenAI application development (e.g., LangChain)
  • Knowledge of API development frameworks (e.g., Django, Flask, FastAPI) and knowledge of web standards relating to API development (e.g., CORS, OpenAPI)
  • Experience with modern web development frameworks and languages, including React, Typescript, and Node.js with experience building and maintaining front-end and backendapplications
  • Familiarity working with production-grade vector databases (e.g., pgvector, Chroma, or Milvus) for efficient storage and retrieval of embeddings
  • Familiarity with relational databases
  • Solid understanding of modern software development practices
  • Familiarity with container technologies (Docker, Kubernetes)
  • Ability to work with unit tests, integration tests and common Python testing frameworks
  • Strong analytical skills, and a creative mindset to effectively define problems and explore solutions
  • Well-developed and professional interpersonal skills; ability to interact effectively with people at all organizational levels
  • Ability to work in a team environment with a customer-service focus
  • Strong communication skills, both written and verbal
  • Organizational skills needed to manage time well, prioritize effectively, and handle multiple deadlines
  • Ability to handle confidential and sensitive information with the appropriate discretion
  • Ability to continually learn and grow in the AL/ML field
    Nuclear requirement: Any PVNGS employee may be called upon to serve as a member of the Emergency Response
    Organization (ERO) and will be expected to fulfill their obligation as an ERO member.
    Any PVNGS employee may be called upon to support a refueling or short-notice outage.
    This includes line roles and responsibilities as necessary to execute outage activities.
    These are a condition of employment at PVNGS.

Major Accountabilities
1) Support the development of full-stack solutions for ML/GenAI applications, integrating both frontend and backend components to deliver robust and scalable solutions
2) Work closely with AI/Machine Learning Engineers to develop prototypes that solve business requirements
3) Contribute to the ideation and development of solutions; collaborate with AI/ML Engineers to transition prototypes into production
4) Code, test, and debug application systems per specifications
5) Prepare appropriate system and user documentation
6) Analyzes and resolves development issues in a timely manner
7) Conducts analysis of codes and develops/ deploys defect fixes in engineering processes
8) Proactively assists internal clients with technical issues related to solution implementation
9) Stays up to date with the latest industry trends and technologies to help foster innovation
Export Compliance / EEO Statement
This position may require access to and/or use of information subject to control under the Department of Energy's Part 810 Regulations (10 CFR Part 810), the Export Administration Regulations (EAR) (15 CFR Parts 730 through 774), or the International Traffic in Arms Regulations (ITAR) (22 CFR Chapter I, Subchapter M Part 120) (collectively, 'U.S. Export Control Laws'). Therefore, some positions may require applicants to be a U.S. person, which is defined as a U.S. Citizen, a U.S. Lawful Permanent Resident (i.e. 'Green Card Holder'), a Political Asylee, or a Refugee under the U.S. Export Control Laws. All applicants will be required to confirm their U.S. person or non-US person status. All information collected in this regard will only be used to ensure compliance with U.S. Export Control Laws, and will be used in full compliance with all applicable laws prohibiting discrimination on the basis of national origin and other factors. For positions at Palo Verde Nuclear Generating Stations (PVNGS) all openings will require applicants to be a U.S. person.
Pinnacle West Capital Corporation and its subsidiaries and affiliates ('Pinnacle West') maintain a continuing policy of nondiscrimination in employment. It is our policy to provide equal opportunity in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations. This policy of nondiscrimination shall include, but not be limited to, recruiting, hiring, promoting, compensating, reassigning, demoting, transferring, laying off, recalling, terminating employment, and training for all positions without regard to race, color, religion, disability, age, national origin, gender, gender identity, sexual orientation, marital status, protected veteran status, or any other classification or characteristic protected by law.
For more information on applicable equal employment regulations, please refer to EEO is the Law poster. Federal law requires all employers to verify the identity and employment eligibility of every person hired to work in the United States, refer to E-Verify poster. View the employee rights and responsibilities under the Family and Medical Leave Act (FMLA). Arizona Public Service is a smoke free workplace.
Hybrid: Employees in hybrid roles work both in their home offices (virtually) and alongside their colleagues (in person).
In order for employees to build strong relationships and to promote meaningful in-person interactions, hybrid employees are expected to work about 40% of their time in-person at an APS or other (non-home office) location.
  • Employees are expected to reside in Arizona (or New Mexico for Four Corners-based employees).
  • Working from a home office requires adequate technology and an appropriate ergonomic set up.
  • Role types are subject to change based on business need.

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