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Python Ml Developer Jobs in Buckeye, AZ (NOW HIRING)

Enterprise Architect

Phoenix, AZ · Remote

$65.25 - $84.25/hr

Candidates must have a Python/ML engineering background to be considered. This is a remote position. In this role you would work Monday through Friday normal business hours 9am - 5pm AZ time zone and ...

Lead Data Scientist, AdTech

Phoenix, AZ · Hybrid

$175K - $200K/yr

Expert Python and SQL EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role ... Collaborative: Leans on ML engineering for the last mile rather than working solo * Coachable:

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer ... Master's degree in a STEM field * 4 years of proficiency in SQL * 4 years of proficiency in Python

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer ... Master's degree in a STEM field * 4 years of proficiency in SQL * 4 years of proficiency in Python

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer Hybrid Phoenix, AZ * Google Cloud Platform services such as ... Knowledge of Python * Experience working with large-scale data environments. * Knowledge of AI/ML ...

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Python Ml Developer information

See Buckeye, AZ salary details

$12

$57

$84

How much do python ml developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for python ml developer in Buckeye, AZ is $57.24, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 per hour, depending on experience, location, and employer.

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 Buckeye, AZ look for? The top searched job categories for Python Ml Developer jobs in Buckeye, AZ are:
What cities near Buckeye, AZ are hiring for Python Ml Developer jobs? Cities near Buckeye, AZ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Buckeye, AZ as of July 2026, with employment types broken down into 87% Full Time, 2% Part Time, 1% Temporary, and 10% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $119,050 per year, or $57.2 per hour.
Software Engineer / Analyst II | Palo Verde

Software Engineer / Analyst II | Palo Verde

Arizona Public Service - APS

Tonopah, AZ • On-site

Full-time

Posted 14 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

Job Summary:
Arizona Public Service (APS) is dedicated to delivering reliable and affordable energy to Arizona communities. They are seeking a Software Engineer / Analyst II to help turn advanced AI and machine learning concepts into usable tools for their teams, modernizing workflows and improving efficiency across the company.
Responsibilities:
• 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
• Support the development of full-stack solutions for ML/GenAI applications, integrating both frontend and backend components to deliver robust and scalable solutions
• Work closely with AI/Machine Learning Engineers to develop prototypes that solve business requirements
• Contribute to the ideation and development of solutions; collaborate with AI/ML Engineers to transition prototypes into production
• Code, test, and debug application systems per specifications
• Prepare appropriate system and user documentation
• Analyzes and resolves development issues in a timely manner
• Conducts analysis of codes and develops/ deploys defect fixes in engineering processes
• Proactively assists internal clients with technical issues related to solution implementation
• Stays up to date with the latest industry trends and technologies to help foster innovation
Qualifications:
Required:
• 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:
• 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 backend applications
• 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
Company:
APS is Arizona’s largest and longest serving electric utility, providing power for nearly 1.2 million customers in 11 of the state’s 15 counties. Founded in 1981, the company is headquartered in Phoenix, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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