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Python Ai Ml Jobs in Arizona (NOW HIRING)

Conch Technologies Inc

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Strong development experience in Python and/or Java * Experience with API development and Microservices Architecture * Hands-on experience with AI/ML and Natural Language Processing (NLP)

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 ...

Mitchell Martin

Python Developer with AI

Phoenix, AZ · On-site

$70 - $85/hr

Python Developer With AI Join a dynamic team focused on developing innovative solutions in the ... Design and implement AI/ML models and applications in production environments. * Collaborate on the ...

Tech Genius inc

Python Developer - AI Engineer

Phoenix, AZ · On-site

$50 - $68.75/hr

Python Developer - AI Engineer Location: Phoenix, AZ (Onsite) Visa: OPT, CPT, H4, L2 Required ... Strong experience with AI/ML concepts and frameworks * Experience with OpenAI, LangChain, RAG, LLMs ...

Intraedge

Gen AI/ML engineer

Phoenix, AZ · On-site

Strong experience in developing and deploying AI systems using Python, PyTorch, leveraging ... ML, with a strong focus on Generative AI. Deep understanding of NLP, deep learning, and data ...

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 ...

United IT Solutions

Python Engineer

Phoenix, AZ · On-site

* Looking for a strong Python engineer with hands-on experience with Python programming ... Some exposure to AI/ ML development is required. Roles & Responsibilities * Looking for senior ...

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 ...

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Python Ai Ml information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

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.

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.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional 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.
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What cities in Arizona are hiring for Python Ai Ml jobs? Cities in Arizona with the most Python Ai Ml job openings:
Python Ai Ml jobs near you

Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies Llc

Phoenix, AZ

Full-time

Posted 16 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.