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Python Ml Developer Jobs in Arizona (NOW HIRING)

Programmers.io

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 ...

Tech Genius inc

Python Developer - AI Engineer

Phoenix, AZ · On-site

$50 - $68.75/hr

Python Developer - AI Engineer Location: Phoenix, AZ (Onsite) Visa: OPT, CPT, H4, L2 Required ... Strong experience with AI/ML concepts and frameworks * Experience with OpenAI, LangChain, RAG, LLMs ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

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 ...

Centraprise

Openshift and Python Developer

Chandler, AZ · On-site

$49.50 - $68.25/hr

Job Title : Openshift and Python Developer Job Location : Chandler, AZ (ONSITE) Job Type ... Al/ML and GenAl use cases. o Build and automate platform workflows and tooling using Python. o ...

Centraprise Corp

Python with OpenShift Developer

Chandler, AZ · On-site

$51.25 - $70.75/hr

Job Title : Python with OpenShift Developer Job Location : Chandler, AZ (ONSITE) Job Type ... Al/ML and GenAl use cases. o Build and automate platform workflows and tooling using Python. o ...

New

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with ... Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ

$105K - $145K/yr

Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

Intraedge

Gen AI/ML engineer

Phoenix, AZ · On-site

Gen AI/ML engineer Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration ... Strong experience in developing and deploying AI systems using Python, PyTorch, leveraging ...

AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

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

Conch Technologies Inc

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 ...

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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 are popular job titles related to Python Ml Developer jobs in Arizona? For Python Ml Developer jobs in Arizona, the most frequently searched job titles are:
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:
Python Ml Developer jobs near you
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.
Python Developer

Python Developer

Programmers.io

Phoenix, AZ • On-site

$50 - $68.75/hr

Full-time

Re-posted 19 days 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