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

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Working knowledge of at least one additional programming language (e.g., JavaScript/TypeScript ... Exposure to Python ML libraries (e.g., scikit-learn, pandas, NumPy) for simple data processing or ...

Programming Languages : Proficiency in Python and R. * ML Frameworks : Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of Google Cloud and Azure ...

Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks * Develop models for NLP, classification, clustering, anomaly detection, and ...

Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG ... Python (FastAPI), Docker, Azure (preferred), OpenTelemetry, PostgreSQL Requirements: Technical ...

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Strong development experience in Python and/or Java * Experience with API development and ... Support DevOps processes utilizing GitHub, GitHub Actions, and CI/CD pipelines Ideal Candidate A ...

Strong development experience in Python and/or Java * Experience with API development and ... Support DevOps processes utilizing GitHub, GitHub Actions, and CI/CD pipelines Ideal Candidate A ...

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 ...

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 ...

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/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 ...

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

New

... 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 ...

... DevOps, Infrastructure, and Application teams. Automate operational tasks using Python, Shell ... Experience with AI/ML for observability and AIOps. Experience with Dynatrace Davis AI, predictive ...

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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 Aug 18, 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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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.

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.

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 August 2026, with employment types broken down into 1% Internship, 85% Full Time, 7% Part Time, 6% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $119,050 per year, or $57.2 per hour.

Python Developer

Programmers.io

Phoenix, AZ • On-site

$50 - $68.75/hr

Full-time

Re-posted 11 hours ago


Job description

JD: 
  • Proficiency in Python, with demonstrated experience building and maintaining backend services or APIs
  • Working knowledge of at least one additional programming language (e.g., JavaScript/TypeScript, Java, Go)
  • Experience with modern web frameworks (e.g., Django, Flask, FastAPI, React, Angular, or Vue)
  • Familiarity with RESTful API design, development, and integration
  • Understanding of front-end fundamentals (HTML, CSS, JavaScript) and responsive design principles
  • Experience working with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)
  • Basic understanding of cloud platforms (e.g., AWS, Azure, or GCP) and deployment workflows
  • Exposure to version control systems, particularly Git, including branching and pull request workflows
  • Familiarity with Identity and Access Management (IAM) concepts (e.g., authentication, authorization, RBAC, OAuth, SSO)
  • Experience integrating or working with IAM tools or providers (e.g., Okta, Auth0, Azure AD) is preferred
  • Understanding of security best practices in web application development
  • Experience with containerization and/or orchestration tools (e.g., Docker, Kubernetes) is a plus
  • Exposure to Python ML libraries (e.g., scikit-learn, pandas, NumPy) for simple data processing or experimentation
  • Familiarity with prompt design and basic evaluation of AI outputs
  • Familiarity with Linux/Unix environments for deploying and operating applications, including log monitoring, process/service management, basic troubleshooting, and writing simple scripts (e.g., Bash/Python) to automate routine tasks.
  • Strong problem-solving skills and ability to debug and troubleshoot across the stack
  • Ability to write clean, maintainable, and well-documented code
  • Effective communication skills and ability to collaborate in a team environment