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

Intel Corporation

Software Engineer

Phoenix, AZ · On-site

... ML production systems. * 1+ years of experience with Strong programming skills in one of the following: (C++ (preferred), Python, C# with solid foundations in data structures, algorithms, and ...

Master Electronics

Data Scientist II

Phoenix, AZ

Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis * Solid ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Strong programming skills in Python (plus experience in JavaScript), with profi ciency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis * Solid ...

Intel

Software Engineer

Phoenix, AZ

... AI/ML production systems. * 1+ years of experience withStrong programming skills inone of the following: (C++ (preferred),Python, C# with solid foundations in data structures, algorithms, and ...

Master Electronics

Data Scientist II

Phoenix, AZ

Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis * Solid ...

Tech Genius inc

GCP Data engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data engineer Location: Phoenix, AZ(onsite) Duration: Long term Experience: Min 6 years Visa ... Python Experience working with large-scale data environments Understanding of AI/ML concepts and ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

AI, AWS, Typescript, Javascript, Python, GO LangGraph, LangChain, AirFlow The Role As a AI Engineer ... LangGraph, LangChain, AirFlow, etc Agentic AI and ML * Integration of commercial and open-source ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines. * Review and advise on infrastructure approaches ...

ASM

Senior Engineer I, Product Intelligence

Phoenix, AZ · On-site

$103K - $142K/yr

... developer * Strong proficiency in Go (required) * Working proficiency across our core stack: Python ... Experience building AI/ML applications (strongly preferred, but flexible for strong candidates ...

ASM

Digital Solutions Engineer

Phoenix, AZ

Experience building engineering tools, diagnostic interfaces, or HMIs (e.g., Python frameworks, LabVIEW) * Familiarity with knowledge management systems or search platforms * Exposure to AI/ML or ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121K - $160K/yr

YOU MUST HAVE * 5+ years of hands-on AI/ML experience in production environments. Proven track ... Strong proficiency in Python (primary AI development language), Experience with at least one ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121K - $160K/yr

YOU MUST HAVE * 5+ years of hands-on AI/ML experience in production environments. Proven track ... Strong proficiency in Python (primary AI development language), Experience with at least one ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115K - $152K/yr

Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end ... Strong proficiency in Python (primary AI development language), Experience with at least one ...

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Python Ml Developer information

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$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:
Python Ml Developer jobs near you
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

Software Engineer

Intel Corporation

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 144 rated electronics manufacturers

Job description

Job Details:
Job Description:
Who We Are
Advanced Packaging and Technology Manufacturing Group, we develop software tools and technologies that help shape the future of foundry and Intel products. Our work in advanced packaging and silicon enablement supports engineering teams in staying at the forefront of cutting-edge semiconductor technologies. We operate in a fast-paced, research-driven environment where innovation, collaboration, and technical excellence are critical to success.
In this role, we are looking for a strong team player who can help redefine and shape the next generation of software automation and engineering tools through the end-to-end infusion of AI/ML technologies.
The ideal candidate will contribute to building intelligent, scalable, and efficient software solutions that accelerate engineering workflows, improve productivity, and support innovation across advanced packaging and silicon development initiatives. This role requires someone who is comfortable working in a dynamic environment, partnering with technical teams, and applying AI/ML across the full software development lifecycle.
Key Responsibilities
  • Design, develop, and enhance software tools and automation solutions that support engineering workflows in advanced packaging and silicon enablement.
  • Apply AI/ML techniques end-to-end to improve tool capability, automation, decision support, and workflow efficiency.
  • Build and integrate intelligent features into software systems, including data-driven automation, predictive capabilities, and workflow optimization.
  • Collaborate closely with engineering, research, and product teams to understand requirements and translate them into scalable technical solutions.
  • Contribute to the architecture, design, implementation, testing, and deployment of AI/ML-enabled software tools.
  • Develop robust, maintainable, and production-quality code in a fast-paced development environment.
  • Evaluate new AI/ML technologies, frameworks, and approaches to drive innovation in engineering productivity and automation.
  • Support experimentation, prototyping, and iterative refinement of new solutions in a research-focused setting.
  • Ensure software solutions are reliable, scalable, and aligned with engineering and business goals.
  • Participate in code reviews, design discussions, and cross-functional technical problem-solving.

Behavioral Traits
  • Work effectively in a fast-paced, research-driven environment with evolving requirements.
  • Problem-solving, analytical thinking, and communication skills.
  • Work independently as well as collaboratively within a multidisciplinary team.
  • Ability to collaborate cross-functionally, contribute to technical design discussions, and deliver high-quality, maintainable software solutions.

Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
  • U.S. Citizenship required.
  • Ability to obtain a US Government TS/SCI Security Clearance with Polygraph.
  • Bachelor's degree in computer science, Computer Engineering/Artificial Intelligence, Machine Learning or in a related field.
  • 1+ years of experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
  • 1+ years of experience with Strong programming skills in one of the following: (C++ (preferred), Python, C# with solid foundations in data structures, algorithms, and software engineering principles).

Preferred Qualifications
  • Maters in Computer Science, Computer Engineering/Artificial Intelligence, Machine Learning or in a related field.
  • Experience with EDA tools.
  • End-to-end experience with generative AI and LLM-based solutions, including one or more of the following: prompt engineering, embeddings, vector databases, semantic search, and RAG workflows.
  • Hands-on experience building scalable applications, backend services, APIs, or distributed systems, including integration of ML models into software.
  • Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPC APIs, or serverless architectures.
  • Strong understanding of system design, distributed computing, performance optimization, security, privacy, and responsible AI principles.
  • Experience working with large-scale datasets, data pipelines, or big data/streaming technologies such as Spark, Databricks, or Kafka.
  • Familiarity with databases, version control, testing, CI/CD, and cloud-native development practices.

Join Intel and contribute to shaping the future of technology. Be a part of a dynamic team committed to delivering innovative solutions that address the needs of a rapidly evolving world. Apply today to take the next step in your career.
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $95,640.00-181,940.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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