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Python Ai Ml Jobs in Arizona (NOW HIRING)

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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AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

The AI ML Engineer will contribute to the requirements elicitation process, facilitate software ... Preferred : • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn ...

AI-ML Engineer 1

Tucson, AZ · On-site

$98K - $118K/yr

Solid understanding of Python is essential; familiarity with Java, R, or C++ is beneficial ... AI Tools & Libraries: Familiarity with ML frameworks like scikit-learn, TensorFlow, Keras, or ...

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Typescript and Python, Gen AI, Agentic AI Experience Required - 6+ Years Role Overview: Design, develop, and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely ...

YOU MUST HAVE * 5+ years of hands-on AI/ML experience in production environments. Proven track ... Strong proficiency in Python (primary AI development language), Experience with at least one ...

API; AWS Must have Tech: CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot, Kafka, AI/ML ... Proficient in developing and hosting solutions using Java and Python on cloud platforms, preferably ...

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115K - $152K/yr

Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end ... Strong proficiency in Python (primary AI development language), Experience with at least one ...

YOU MUST HAVE * 5+ years of hands-on AI/ML experience in production environments. Proven track ... Strong proficiency in Python (primary AI development language), Experience with at least one ...

Lead ML Ops Engineer

Tempe, AZ · On-site

$98K - $129K/yr

Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET). * Leadershiplevel expertise in AI/ML platform ...

SVP AI Enterprise Architect

Tempe, AZ · On-site

$67 - $86.50/hr

... as Python and experience with AI/ML frameworks. • This role is primarily not a hands-on role, though building PoC and demo applications should be within their skillset so the chosen candidate ...

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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.
What cities in Arizona are hiring for Python Ai Ml jobs? Cities in Arizona with the most Python Ai Ml job openings:
AI ML Engineer

AI ML Engineer

Staffingine LLC

Phoenix, AZ • On-site

$113K - $136K/yr

Contractor

Posted 10 days ago

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Job description

Job Title: AI ML Engineer
Job Location: Charlotte, NC / Phoenix, AZ
Job Type: Contract

Job Description:

  • Programming Languages Python Pandas NumPy Scikitlearn SQL
  • Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting
  • Data Visualization Power BI Tableau Matplotlib Seaborn
  • Big Data Technologies Spark Hadoop basic understanding
  • Cloud Platforms Azure or AWS especially for data pipelines and model deployment
  • Data Engineering ETL processes data wrangling and feature engineering
  • Insurance Reinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics

Technical Skills:

  • R or SAS for statistical analysis
  • Experience with Natural Language Processing NLP
  • Familiarity with geospatial data and mapping tools
  • Knowledge of Monte Carlo simulations and stochastic modeling
  • Experience with Git and CICD pipelines
  • Exposure to regulatory frameworks Solvency II IFRS 17

Soft Skills:

  • Strong problem solving and critical thinking abilities
  • Excellent communication and storytelling skills for nontechnical stakeholders
  • Collaborative mindset with cross functional teams actuarial underwriting IT
  • Ability to manage multiple projects and prioritize effectively
  • Curiosity and continuous learning attitude
  • High attention to detail and data integrity

Qualifying Questions:

  • Can you describe a project where you applied machine learning to solve a business problem in the insurance or financial domain
  • How do you ensure the quality and reliability of your data before building models
  • Have you worked with actuarial teams or underwriting departments before If yes how did you contribute to their decision making process

Mandatory Skills : AI/GenAI Research