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

TekVivid

Java Software Engineer 7+

Phoenix, AZ · On-site

$51.50 - $70.50/hr

... Python, and CI/CD , along with exposure to Vertex AI and AI/ML-enabled applications . The candidate will work closely with architects, product managers, DevOps engineers, and cross-functional ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer ... Master's degree in a STEM field * 4 years of proficiency in SQL * 4 years of proficiency in Python

YO AI Labs

Backend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ... Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews ...

YO AI Labs

Frontend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ... Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

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

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 ...

Atos

APPLICATION DEVELOPER

Phoenix, AZ · On-site

Partner with Data Science teams to operationalize and scale Python-based prototypes into production ... AI/ML Tools: Hands-on experience with Java AI frameworks like LangChain4j, Spring AI, Deep Java ...

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 ...

Inficare Technologies

Database Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

... of Python and AI/ML technologies. This role partners with application, data engineering, cloud, security, and AI teams to define database architecture standards and build reliable, secure, and ...

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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.

Data Engineer -

Phoenix, AZ • On-site

Inabia Solutions and Consulting, Inc.
IT Services • 11 - 50 employees
Learn more about Inabia Solutions and Consulting, Inc.external

Contractor

Posted 15 days ago

Key responsibilities

  • Design and define enterprise-level database architectures, standards, patterns, and best practices

  • Design scalable database solutions encompassing data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery

  • Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector databases/search, and RAG patterns

Job description

Overview
Inabia is seeking an experienced Data Engineer with strong expertise across data engineering, database architecture, cloud platforms, and application architecture. This role is responsible for designing and implementing reliable, scalable, secure, and high-performance data solutions in close collaboration with application architects, cloud engineers, data scientists, and application development teams. The ideal candidate brings hands-on experience building scalable data pipelines and platforms, deep SQL and data modeling skills, working Python knowledge, and meaningful exposure to AI/ML and Generative AI technologies.
Responsibilities
  • Design and define enterprise-level database architectures, standards, patterns, and best practices
  • Evaluate and select relational, NoSQL, and cloud-native database technologies based on business and technical requirements
  • Design scalable database solutions encompassing data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
  • Provide platform expertise across PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar systems
  • Design and support database solutions deployed on AWS, Azure, or GCP
  • Lead or support on-premises-to-cloud database migrations and modernization initiatives
  • Optimize database performance through query tuning, indexing, partitioning, and capacity planning
  • Establish and enforce database security standards including encryption, access controls, auditing, data protection, and regulatory compliance
  • Use Python for database automation, scripting, data processing, validation, and operational tasks
  • Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector databases/search, and RAG patterns
  • Create and maintain architecture diagrams, database standards documentation, and technical reference materials
  • Provide technical leadership, conduct architecture reviews, support troubleshooting efforts, and mentor team members

Key Qualifications
  • Strong experience in database architecture, engineering, or administration at enterprise scale
  • Deep understanding of relational database concepts: SQL, data modeling, normalization, indexing, transactions, and performance optimization
  • Hands-on experience with one or more major database platforms (PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent)
  • Hands-on experience with AWS, Azure, or GCP managed database services
  • Solid understanding of cloud architecture principles: scalability, high availability, security, monitoring, backup, and disaster recovery
  • Demonstrated experience with database migration and modernization projects
  • Basic to intermediate Python skills for scripting, automation, and data processing
  • Experience with cloud-native and distributed database architectures, Infrastructure as Code (IaC), and DevOps/CI/CD practices
  • Knowledge of database observability, monitoring, and automated operations
  • Experience with data governance, security, privacy, and regulatory compliance requirements
  • Proven track record supporting large-scale, high-volume, highly available enterprise systems
  • Strong problem-solving, analytical, written communication, and documentation skills

Preferred Qualifications
  • Familiarity with vector databases, embeddings, semantic search, large language models (LLMs), and Retrieval-Augmented Generation (RAG) patterns
  • Basic understanding of AI/ML and Generative AI concepts as they relate to data platform design

Apply