1

Ai Ml Python Developer Jobs in Arizona (NOW HIRING)

We are looking for Senior Full-Stack AI Engineers (3-5 years) with strong hands-on experience in AI/ML engineering, Python, LLMs, APIs, and agentic solutions . * Azure AI Engineer - Strong experience ...

New

GCP DevOps Engineer

Scottsdale, AZ ยท On-site

$53.25 - $72.75/hr

A significant aspect of the role involves applying AI/ML concepts and AIOps practices to enhance ... Proficiency in programming languages such as Python, Ansible, and Node.js. * Strong experience with ...

Mental Health Expert - Remote

Phoenix, AZ ยท 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 ...

AI & Machine Learning Engineer

Chandler, AZ ยท On-site

$100K - $110K/yr (+ commission)

... Python applications, backend services, and enterprise integrations * Optimize AI/ML models for real ... Git, Azure DevOps, CI/CD, Docker, Kubernetes Company Description MY DR NOW, the largest privately ...

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 ...

AI Engineer

Phoenix, AZ ยท On-site

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 ...

Data Engineer

Phoenix, AZ ยท 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 ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$55/hr

AI/ML Alignment: Partner with cross-functional teams to support and integrate data models designed ... Expert-level proficiency in Python, SQL, and PySpark / Apache Beam. * DevOps Best Practices:

AI Engineer

Globe, AZ ยท On-site

$92K - $126K/yr

Python, Node.js. Plus: React, FastAPI, Typescript, Go. * Cloud & DevOps: AWS, GCP, GitOps, CI/CD, Terraform. Certifications (Nice-to-Have) * Data Science & ML Engineering * Generative AI Fundamentals ...

Showing results 41-60

Ai Ml Python Developer information

What is the difference between Ai Ml Python Developer vs Data Scientist?

AspectAi Ml Python DeveloperData Scientist
Required SkillsPython, Machine Learning, AI frameworks, coding, deploymentPython, Statistics, Data Analysis, Machine Learning, Visualization
Work EnvironmentDevelopment, coding, model deployment in tech teamsData analysis, research, reporting in various industries
Common Industry UsageAI product development, automation, machine learning solutionsData analysis, business insights, predictive modeling

While both roles involve Python and machine learning, Ai Ml Python Developers focus on building and deploying AI models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ mainly in their primary focus: development versus analysis.

Infographic showing various Ai Ml Python Developer job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Engineer

Scottsdale, AZ โ€ข On-site

Aptino
IT Servicesย โ€ขย 51 - 200 employees

Other

Posted yesterday

New


Job description

We are looking for Senior Full-Stack AI Engineers (3โ€“5 years) with strong hands-on experience in AI/ML engineering, Python, LLMs, APIs, and agentic solutions.

  • Azure AI Engineer โ€“ Strong experience with Azure AI, Azure AI Foundry, Azure OpenAI, and Microsoft Copilot Studio.

Key Responsibilities & Skills:

  • Build and deploy AI agents, automation workflows, APIs, and production-ready AI solutions.
  • Develop prompt/agent engineering, RAG, retrieval & grounding, and evaluation frameworks.
  • Integrate models, APIs, and enterprise systems across AWS and Azure.
  • Implement testing, debugging, observability, and DevSecOps practices.
  • Support deployments, prototypes, production solutions, and technical documentation.
  • Design scalable enterprise AI/agentic workflows and integration patterns.