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Machine Learning Engineer Jobs in Goodyear, AZ (NOW HIRING)

Tech One IT

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

The ideal candidate will have strong expertise in Generative AI, LLMs, AI agents, machine learning ... engineers to define AI use cases Develop APIs and integrate AI solutions into enterprise ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

We are seeking a highly skilled AI/ML Engineer to join our team ... The ideal candidate will have extensive experience in designing and developing machine learning ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Design develop and deploy AI and machine learning models using Python and relevant AI stacks Manage ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL ... Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting

Deloitte

AI Data Engineer - Manager

Tempe, AZ

$109.70K - $131.70K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Deloitte

AI Data Engineer Manager

Tempe, AZ · On-site

$109.70K - $131.70K/yr

AI Data Engineer Manager Position Summary Our Human Capital practice is at the forefront of ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Deloitte

AI Data Engineer Senior Consultant

Tempe, AZ · On-site +1

$101.50K - $137.90K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Pwc

CTIO AI Engineering Manager

Phoenix, AZ · On-site

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Phoenix Staff

Senior Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Senior Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Phoenix Staff Inc

Be Seen First

Senior Data & AI Engineer

Phoenix, AZ · On-site

$50 - $60/hr

Senior Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Phoenix Staff Inc

Be Seen First

Senior Data & AI Engineer

Phoenix, AZ · On-site

$50 - $60/hr

Senior Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Pwc

CTIO-AI Engineer-Sr Associate

Phoenix, AZ · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Phoenix, AZ · On-site

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

TSMC

Quality Management Engineer

Phoenix, AZ

$88.60K - $114.50K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Predictive analytics and statistical applications including modeling, machine learning, data ...

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88.60K - $114.50K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Predictive analytics and statistical applications including modeling, machine learning, data ...

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91.53K - $156.50K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Goodyear, AZ

Machine Learning Engineer information

See Goodyear, AZ salary details

$30.8K

$125.8K

$189.1K

How much do machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning engineer in Goodyear, AZ is $125,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $151,400.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Goodyear, AZ? The most popular types of Machine Learning Engineer jobs in Goodyear, AZ are:
What cities near Goodyear, AZ are hiring for Machine Learning Engineer jobs? Cities near Goodyear, AZ with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Agentic AI Engineer

Agentic AI Engineer

Tech One IT

Phoenix, AZ

$113.70K - $136.50K/yr

Other

Posted 21 days ago

Job description

Job Summary We are seeking a highly skilled Agentic AI Engineer / Data Scientist to design, develop, and deploy advanced AI-driven systems capable of autonomous reasoning, decision-making, and workflow orchestration. The ideal candidate will have strong expertise in Generative AI, LLMs, AI agents, machine learning, and data science , along with hands-on experience building scalable AI applications in cloud environments. This role involves developing intelligent AI agents, integrating large language models, building ML pipelines, and collaborating with cross-functional teams to deliver innovative AI solutions for enterprise applications.

Key Responsibilities Design and develop Agentic AI systems using LLMs, autonomous agents, and multi-agent frameworks Build and deploy AI/ML models for prediction, automation, and intelligent decision-making Develop AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel Fine-tune and optimize LLMs including GPT, Llama, Claude, Gemini, or open-source models Create scalable data pipelines for structured and unstructured data processing Implement Retrieval-Augmented Generation (RAG) architectures and vector databases Work with cloud platforms such as AWS, Azure, or GCP for AI deployment and MLOps Collaborate with business stakeholders, product teams, and engineers to define AI use cases Develop APIs and integrate AI solutions into enterprise applications Monitor model performance, accuracy, and scalability in production environments Ensure AI solutions comply with security, governance, and responsible AI standards Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field 5+ years of experience in AI/ML engineering or data science Strong programming skills in Python Hands-on experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch Experience with Generative AI and Large Language Models (LLMs) Expertise in prompt engineering, RAG, embeddings, and vector databases Knowledge of AI agent frameworks like LangChain, CrewAI, AutoGen, or LangGraph Experience with SQL, NoSQL, and big data technologies Familiarity with Docker, Kubernetes, CI/CD, and MLOps practices Experience with cloud AI services on AWS, Azure, or GCP Preferred Qualifications Experience with multi-agent AI systems and autonomous workflows Knowledge of NLP, Computer Vision, or Reinforcement Learning Experience with AI observability and evaluation frameworks Exposure to enterprise AI governance and AI security practices Certifications in Cloud AI or Machine Learning are a plus

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