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Python Ai Ml Jobs in Arizona (NOW HIRING)

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Proficiency in Python and R. * ML Frameworks : Experience with TensorFlow, PyTorch, and scikit ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Implement CICD pipelines for ML and AI-driven applications. Monitor, troubleshoot, and optimize ... Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks * Develop models for NLP, classification, clustering, anomaly detection, and ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) * Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact ...

Judge Group, Inc.

AI/ML Engineer (GenAI)

Chandler, AZ · On-site

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 ...

Staffingine LLC

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 ...

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Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What are popular job titles related to Python Ai Ml jobs in Arizona?

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What job categories do people searching Python Ai Ml jobs in Arizona look for?

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What cities in Arizona are hiring for Python Ai Ml jobs?

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Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Arizona as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies

Phoenix, AZ • On-site

Full-time

Re-posted 3 days ago

Job description

Role Description
This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.
Qualifications
  • Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python. 
  • Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
  • Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration. 
  • Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices. 
  • Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases. 
  • Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven). 
  • Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments. 
  • Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions. 
  • Good understanding of data structures, algorithms and design patterns 
  • Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.