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Ml Engineer Jobs in Arizona (NOW HIRING)

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 skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with GCP AIML services (Vertex AI, AI Platform, BigQuery ML) or AWS ML services (SageMaker etc). 5 years ...

Trinite Consulting Group LLC

AI/ML Engineer

Phoenix, AZ · On-site

$55/hr

AI/ML Engineer Location: Scottsdale, AZ or Dallas, TX (HYBRID) Duration: Long Term Contract Rate: $55/hr C2C Note: Must interview onsite for 2nd round interview About the Role We are seeking an ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely ...

Staffingine LLC

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 Regression ...

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 Security applications within the organization. This job will have the following responsibilities: * You ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

We are looking for an AI/ML Engineer II who wants to build - someone who sees problems as opportunities, moves quickly from idea to execution, and wants their work to create real impact in the lives ...

Bright Vision Technologies

ML Security Engineer

Phoenix, AZ · Remote

$100K - $150K/yr

ML Security Engineer- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This ...

Conch Technologies Inc

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Avaya Engineer ( AI/ML ) Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) Duration: 12+ Months Contract Required Skills We are seeking experienced Software Engineers ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

AI / ML Engineering * Design, develop, train, fine-tune, and evaluate machine learning models using PyTorch and associated ecosystem libraries (torchvision, torchaudio, torch.nn, torch.optim)

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

AI / ML Engineering * Design, develop, train, fine-tune, and evaluate machine learning models using PyTorch and associated ecosystem libraries (torchvision, torchaudio, torch.nn, torch.optim)

Conch Technologies Inc

AI/ML NLP Engineer

Phoenix, AZ · On-site

AI/ML NLP Engineer Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) Duration: 12+ Months Contract Required Skills We are seeking experienced Software Engineers with ...

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All JobsMl Engineer JobsMl Engineer Jobs in Arizona

Ml Engineer information

See Arizona salary details

$30.8K

$83.1K

$132.3K

How much do ml engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ml engineer in Arizona is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $101,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

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

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
What are the most commonly searched types of Ml Engineer jobs in Arizona? The most popular types of Ml Engineer jobs in Arizona are:
What are popular job titles related to Ml Engineer jobs in Arizona? For Ml Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in Arizona look for? The top searched job categories for Ml Engineer jobs in Arizona are:
What cities in Arizona are hiring for Ml Engineer jobs? Cities in Arizona with the most Ml Engineer job openings:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

AI/ML Engineer

Redolent, Inc.

Phoenix, AZ • On-site

Contractor

Re-posted 25 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

Social media

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