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Patterned Learning Ai Jobs in Phoenix, AZ (NOW HIRING)

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

... Learning Environment, GIS Data * Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and RAG patterns, and of MLOps practices for model deployment and monitoring

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

... Learning Environment, GIS Data * Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and RAG patterns, and of MLOps practices for model deployment and monitoring

Data and AI Engineer II

Phoenix, AZ · On-site

$112 - $160/hr

... Learning Environment, GIS Data * Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and RAG patterns, and of MLOps practices for model deployment and monitoring

Work with clients to design, develop, and deploy new architectures to support machine learning ... Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... patterns * Ability to travel 50%, on average, based on the work you do and the clients and ...

Sr. AI Security Engineer

Phoenix, AZ

$104K - $143K/yr

This role will help protect data, systems, users, and customers as generative AI, machine learning ... Create practical security patterns, reference architectures, playbooks, standards, and guidance for ...

Sr. AI Security Engineer

Phoenix, AZ · On-site

$104K - $143K/yr

This role will help protect data, systems, users, and customers as generative AI, machine learning ... Create practical security patterns, reference architectures, playbooks, standards, and guidance for ...

... Learning, Azure AI Foundry and MLflow. Your expertise in building scalable GenAI solutions and ... Deploy AI solutions on Azure cloud and establish reusable design patterns. Qualifications ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... patterns - Bringing systems thinking to design end-to-end platforms - Coaching and mentoring ...

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization ... Contribute to architectural roadmaps, reference patterns, and best practices across the enterprise.

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization ... Contribute to architectural roadmaps, reference patterns, and best practices across the enterprise.

Vibe Coding Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Vibe Coding Tutor

Chandler, AZ · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Vibe Coding Tutor

Mesa, AZ · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Vibe Coding Tutor

Tempe, AZ · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Showing results 41-60

Patterned Learning Ai information

See Phoenix, AZ salary details

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$68

How much do patterned learning ai jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for patterned learning ai in Phoenix, AZ is $40.41, according to ZipRecruiter salary data. Most workers in this role earn between $29.38 and $52.50 per hour, depending on experience, location, and employer.

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What are popular job titles related to Patterned Learning Ai jobs in Phoenix, AZ?

For Patterned Learning Ai jobs in Phoenix, AZ, the most frequently searched job titles are:

Infographic showing various Patterned Learning Ai job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $84,048 per year, or $40.4 per hour.

Data and AI Engineer II

Freeport McMoRan

Phoenix, AZ • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Freeport-McMoRan rating

8.2

Company rating: 8.2 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

7th of 41 rated mining


Job description

At Freeport-McMoRan, we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you'll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career. Apply Today! 

Where You Will Work 

Our global headquarters is in Phoenix, Arizona. Several hundred employees support global operations in finance, human resources, information technology, planning and more from the main office, satellite offices or online. Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub at the Cotton Center in Phoenix. The Collaboration Hub provides an open, flexible workspace for individuals and teams to come together for various business needs. Amenities at the Hub include a working cafe, phone booths and meeting rooms with technology tools for virtual and in-person collaboration.

Phoenix is the capital of the Grand Canyon State and enjoys mostly bright skies throughout the year. It is the perfect place if you enjoy the outdoors, love sports, concerts and other big city amenities or technology. There are great neighborhoods around Phoenix, with easy access to a major city, nature, the arts and many more amenities. 

What You Will Do

As the Data and AI Engineer II, you will serve as a project leader and independent contributor on a fast-growing Data Engineering team focused on analytics-driven mining. Your expertise in data and software engineering will enable the organization to build and deploy data- and AI-driven solutions to production while collaborating with mining operations, subject matter experts, data scientists, and software engineers. You will champion DataOps and agile practices to drive value across projects.

  • Lead technical work within cross-functional, geographically distributed agile teams; design, develop, review, and maintain real-time and bulk data pipelines, feature stores, and vector stores; ensure adherence to design patterns; develop data lineage and data dictionary documentation; and apply DataOps best practices.
  •  Provide thought leadership in problem solving, challenge paradigms constructively, solicit input, and participate in R&D initiatives.
  •  Utilize Snowflake, Azure, and DevOps/DataOps/MLOps practices to deliver enterprise-quality Python and SQL solutions and identify optimization opportunities.
  •  Independently pursue training and research emerging technologies for departmental application. 
  • Perform other duties as requested.
What You Bring To Freeport
  • Bachelor's degree in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience
    OR
    Master's in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience
    OR
    Ph.D. in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) year of relevant work experience
  • Strong experience in at least three areas:
  • Knowledgeable Practitioner of SQL development with experience designing high quality, production SQL codebases
  • Knowledgeable Practitioner of Python development with experience designing high quality, production Python codebases
  • Knowledgeable Practitioner in data engineering, software engineering, and ML systems architecture
  • Hands-on experience building production data workloads in Snowflake, including warehouse and schema design, with awareness of the performance and cost implications of design choices
  • Knowledgeable Practitioner of data modeling.
  • Experience applying software development best practices in data engineering projects using GitHub and GitHub Actions, including Version Control, P.R. Based Development, Schema Change Control, CI/CD, Deployment Automation, Test Driven Development/Test Automation, Shift left on Security, Loosely Coupled Architectures, Monitoring, Proactive Notifications using Python and SQL
  • Experience delivering machine learning or generative AI solutions to production, including model or LLM integration, evaluation, and monitoring
  • Data science experience wrangling data, model selection, model training, model validation, Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale
Preferred Qualifications
  • Working knowledge of Azure Stream Architectures, dbt on Snowflake, Schema Change tools, Data Dictionary tools, Azure Machine Learning Environment, GIS Data
  • Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and RAG patterns, and of MLOps practices for model deployment and monitoring
  • Working knowledge of Software Engineering and Object Orient Programming Principles
  • Working knowledge of Snowflake-native capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, and Cortex AI
  • Working knowledge of Distributed Parallel Processing Environments such as Spark
  • Working knowledge of problem solving/root cause analysis on Production workloads
  • Working knowledge of Agile, Scrum, and Kanban
  • Working knowledge of workflow orchestration using tools such as Airflow, Prefect, Dagster, or similar tooling
  • Working knowledge of GitHub and GitHub Actions for source control and CI/CD, or comparable tooling
  • Experience with containerization tools such as Docker
  • Strong verbal and written communication skills in English language

What We Offer You 

The estimated annual pay range for this role is currently$112,000-$160,000. This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional incentive compensation considerations based on company and individual performance. Additionally, this position is currently eligible for annual long-term incentive consideration. Long-term incentives are contingent upon authorized approval under the terms and conditions of the Company's plan and award agreements. More details will be shared during the hiring process.Click here to view a sample of Total Rewards Estimate for this role. 

  • Affordable medical, dental and vision benefits 
  • Company-paid life and disability insurance 
  • 401(k) plan with employer contribution/match 
  • Paid time off, paid sick time, holiday pay, parental leave 
  • Tuition assistance 
  • Employee Assistance Program 
  • Discounted insurance plans for pet, auto, home and vehicle 
  • Internal progression opportunities 
  • Learn more about our competitive and comprehensive benefits package! 

What We Require 

  • Candidates may be required to pass a medical exam. 
  • Candidates must pass all required training and/or testing. 
  • Employees may be required to work a non-standard schedule, which may include shift work (other than day shift) at a 24/7, 365-day operation. 
  • Freeport-McMoRan promotes a drug/alcohol-free work environment using mandatory pre-employment drug testing and on-going drug and alcohol testing, as allowed by applicable laws.  

Equal Opportunity Employer

 

Please be advised that Freeport-McMoRan will never request payment for job-related expenses from applicants. If you receive any suspicious emails, please disregard them, and report the incident to HRSC@fmi.com. 


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