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Python Ml Developer Jobs in Arizona (NOW HIRING)

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 ...

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 ...

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 ...

Our client is currently seeking a skilled AI/ML Software Engineer to support their Information ... Service development with Java, C#, or Python * Service orchestration and testing * Understanding of ...

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 ...

AI Engineer - Agentic AI, Node Js Typescript and Python, Gen AI, Agentic AI . Client is not ... ML infrastructure, async processing, queues, and streaming systems Experience working on Typescript ...

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 ...

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

Showing results 21-40

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 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 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 August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Engineer II - Software Development (Python / AI)

Chandler, AZ • On-site

Microchip Technology
IT Services • 10K+ employees

Full-time

Posted 9 days ago


Microchip Technology rating

8.0

Company rating: 8.0 out of 10

Based on 33 frontline employees who took The Breakroom Quiz


Job description

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc.

People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence.

Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.

Visit our careers page to see what exciting opportunities and company perks await!

Job Description:

We're a small software team embedded within semiconductor manufacturing, focused on transforming how production data is collected, analyzed, and put into action across our sites. Our technology stack is evolving toward Python-centric services, AI/ML-powered analytics, and LLM-driven tools, and we're looking for an engineer to help drive that transformation.

In this role, you'll collaborate closely with test and yield engineers to turn complex manufacturing data into practical, user-friendly systems. Your work will vary from developing data pipelines to prototyping LLM-based solutions that streamline time-consuming analysis. If you enjoy tackling diverse challenges, solving meaningful real-world problems, and seeing your work deployed on the factory floor, this position offers a unique opportunity to make a direct impact.

Responsibilities
  • Build Python services, APIs, and data pipelines that collect, transform, and deliver semiconductor manufacturing data at scale.
  • Develop and deploy AI/ML models and LLM-based solutions that automate analysis and surface actionable insights for engineers.
  • Design and maintain the data infrastructure-including databases, messaging systems, and web platforms-that the team and factory rely on daily.
  • Work directly with test, yield, and process engineers to understand their challenges and deliver effective solutions.
  • Identify and implement automation opportunities using an AI/ML-first mindset.
  • Maintain clear technical documentation so the team can grow without relying on tribal knowledge.
Export Control / ITAR Requirement

This position may involve access to technical data and information controlled under the International Traffic in Arms Regulations (ITAR) and other U.S. export-control laws. Candidates must be a U.S. Person as defined by ITAR, or otherwise be eligible to access the information under an applicable government authorization. Visa sponsorship is not available for this position.

Requirements/Qualifications:

Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Information Systems, Mathematics, or a related field.
- 3+ years of professional software development experience.
- Proficiency in Python - you've built real applications, pipelines, or tooling with it, not just scripts.
- Strong SQL skills including stored procedures and complex queries across relational databases.
- Working familiarity with AI/ML concepts and at least one of: ML frameworks (scikit-learn, PyTorch, TensorFlow), LLM APIs, or AI-assisted
development tools.
- Ability to translate business problems into technical solutions without needing everything spelled out.
---
Preferred Qualifications
**AI & Data**
- Hands-on experience building or integrating LLM-based solutions (RAG pipelines, prompt engineering, agent frameworks).
- Ability to effectively direct AI coding tools through clear intent and prompt articulation to produce production-quality code.
- Experience with AI/ML model development, evaluation, and deployment in production environments.
- Knowledge of statistics, data mining, or data visualization techniques.


**Infrastructure & DevOps**
- Docker/containerization and container orchestration.
- Event-driven architectures and pub-sub messaging (Redis, Kafka).
- Git, CI/CD pipelines (Azure DevOps, Jenkins), and test-driven development practices.
- Linux/Unix command-line proficiency; web server administration (NGINX) is a plus.


**Domain**
- Familiarity with semiconductor fabrication or testing processes.
- Experience with web front-end technologies (JavaScript, React, Angular).
- Additional languages beyond Python (Java, C#, C/C++).

U.S. Export Controls Requirements: This job requires access to technology, materials, software or hardware that is controlled by the export laws of the United States. Candidates are required to provide proof of either US citizenship, Permanent US residency or classification as a protected individual as defined in 8 USC 1324b (a) (3).

Travel Time:

0% - 25%

Physical Attributes:

Feeling, Handling, Hearing, Seeing, Talking, Works Alone, Works Around Others

Physical Requirements:

100% inside, normal business hours

Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster.

To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.


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