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

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 ...

Synergie Systems

Junior AI Engineer

Phoenix, AZ · On-site

Technical Skills: · Python -- strong proficiency · Machine Learning and Deep Learning · Generative AI / LLMs · Prompt engineering and LLM evaluation · RAG and vector databases · REST APIs ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

As a Lead AI Engineer at Honeywell Aerospace, you will provide expert-level technical leadership in the development of AI-driven engineering design tools and physics-based machine learning models.

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/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 ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

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

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

Deloitte

Senior Forward Deployed Engineer- AWS

Tempe, AZ

$100K - $137K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

CTIO AI Engineering Manager

Phoenix, AZ · On-site

$73K - $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 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tempe, AZ

$98K - $129K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments. * Evaluate data quality, model performance ...

CNH Industrial N.V.

AI Development Engineer

Tempe, AZ · On-site

$111K - $163K/yr

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... Generating software systems derived from various Machine Learning (ML) techniques to drive ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Lead 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 ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

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Showing results 41-60

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

Machine Learning Engineer information

See Chandler, AZ salary details

$31K

$126.8K

$190.6K

How much do machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer in Chandler, AZ is $126,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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 Chandler, AZ?

The most popular types of Machine Learning Engineer jobs in Chandler, AZ are:

What are popular job titles related to Machine Learning Engineer jobs in Chandler, AZ?

For Machine Learning Engineer jobs in Chandler, AZ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Chandler, AZ look for?

The top searched job categories for Machine Learning Engineer jobs in Chandler, AZ are:

What cities near Chandler, AZ are hiring for Machine Learning Engineer jobs?

Cities near Chandler, AZ with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Chandler, AZ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $126,824 per year, or $61 per hour.

AI/ML Engineer

Redolent, Inc.

Phoenix, AZ • On-site

Contractor

Re-posted 6 days ago

Job description

Job Title: AI/ML Engineer
Location: Phoenix, AZ
Experience Level: 8+ years
Rate:
Job Description:
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 algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
  • Design and develop machine learning algorithms for time series forecasting, anomaly detection, event classification, and correlation.
  • Develop and implement deep learning applications and systems for observability data (AIOps).
  • Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
  • Implement MCP client and server within the Grafana ecosystem or similar platforms.
  • Collaborate with cross-functional teams to ensure seamless integration and deployment of ML models.
  • Lead and mentor a team of engineers, both onshore and offshore.

Required Skills and Experience:
  • Programming Languages: Proficiency in Python and R.
  • ML Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
  • Cloud Platforms: Working knowledge of Google Cloud and Azure.
  • Front-End Frameworks/Libraries: Experience with React, Angular, Vue.js, and jQuery.
  • Design Tools: Proficiency in Figma, Adobe XD, or Sketch.
  • Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.
  • Server-Side Languages: Familiarity with Python, Node.js, and Java.
  • Version Control: Experience with Git and other version control systems.
  • Testing: Knowledge of testing frameworks and methodologies.
  • Agile Development: Experience with agile development methodologies.
  • Communication and Collaboration: Strong communication and collaboration skills.

Preferred Qualifications:
  • Experience in AIOps and handling observability data.
  • Proven track record of leading and mentoring engineering teams.
  • Strong problem-solving skills and the ability to work in a fast-paced environment
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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