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

YO AI Labs

Mental Health Expert - Remote

Phoenix, AZ · Remote

$200 - $350/hr

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 ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$200 - $250/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 ...

YO AI Labs

AI/ML Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Use Python for scripting, automation, data processing, and validation tasks * Support AI/ML and ... Experience with Infrastructure as Code and DevOps/CI/CD practices * Knowledge of database ...

Plex Consulting, LLC

AI Engineer Consultant

Phoenix, AZ · On-site

AI Engineer Consultant Location: Phoenix, AZ (hybrid office schedule) Employment Type: Full-time ... Strong proficiency in Python and SQL, with hands-on experience using modern data pipelines and ML ...

IVID TEK INC

GCP Data Engineer

Phoenix, AZ · On-site

$55/hr

Expert-level proficiency in Python, SQL, and PySpark / Apache Beam. * DevOps Best Practices ... AI/ML Awareness: Basic understanding of AI/ML concepts and practical exposure to integrating data ...

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Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Buckeye, AZ

Python Ml Developer information

See Buckeye, AZ salary details

$12

$57

$84

How much do python ml developer jobs pay per hour?

As of Sep 9, 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:

Python Ml Developer jobs near you
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.

Senior / Staff ML Training Optimization Engineer

Phoenix, AZ • On-site

3M HEALTHCARE
10K+ employees
Learn more about 3M HEALTHCAREexternal

$150 - $200/hr

Other

Re-posted 4 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world‑class team, we’re unlocking the next era of autonomous transportation with technology that powers commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, we are growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Responsibilities
  • Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
  • Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
  • Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization‑aware training and inference, and compilation/deployment techniques.
  • Work with researchers and ML engineers on best‑practices for optimal resource usage.
  • Create and improve tooling and dashboards to ensure broad adoption of your work.
Qualifications
  • MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
  • Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
  • Experience in deep learning frameworks such as PyTorch or Jax.
  • Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
  • Open‑minded and collaborative team player with willingness to help others.
  • Passionate about self‑driving technologies, solving hard problems, and creating innovative solutions.
Bonus / Nice to have
  • Experience in identifying when custom CUDA kernels are needed, and implementing them.
  • Experience in Bazel in a monorepo environment, and integrating third‑party packages into dev environments.
  • Experience with Kubernetes‑based training platforms.
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