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Mlops Engineer Jobs in Arizona (NOW HIRING)

Rivago infotech inc

MLOps Engineer

Scottsdale, AZ · On-site

MLOPS Engineer Location : Scottsdale AZ (Onsite) Indents : We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role ...

Cliftonlarsonallen

Lead ML Ops Engineer

Tempe, AZ

$98K - $129K/yr

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet ... Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire ... Design and implement scalable MLOps supportive data pipelines for data ingestion processing and ...

Ryan House

Senior Data & AI Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

The Senior Data & AI Engineer will be responsible for architecting and optimizing data solutions ... MLOps (experiment tracking, reproducibility, CI/CD, monitoring, drift detection). • Leverage LLMs ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, and Kubernetes * Collaborate cross-functionally with Security, Risk, Engineering, Governance, and Data ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ

$105K - $145K/yr

Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Apply MLOps best practices for reproducibility, versioning, and governance of ML models. Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with GCP AIML ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

MLOps & Production Engineering * Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights & Biases), versioning, and deployment. * Containerize and deploy ML ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

MLOps & Production Engineering * Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights & Biases), versioning, and deployment. * Containerize and deploy ML ...

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 ... MLOps practices including versioning, CI/CD, monitoring, and drift detection. · Implement data ...

Deloitte

AI Security Engineer Senior Manager

Gilbert, AZ · On-site

$114K - $156K/yr

Architect Secure AI Solutions Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines. Drive Standards and ...

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Mlops Engineer information

See Arizona salary details

$97.6K

$153.1K

$177.7K

How much do mlops engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for mlops engineer in Arizona is $153,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,088.00 and $165,049.00 per year, depending on experience, location, and employer.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is an MLOps Engineer job?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What engineers make $300,000 a year?

Senior MLOps engineers with extensive experience, advanced skills in machine learning deployment, cloud platforms, and automation tools can earn $300,000 or more annually. High compensation is often associated with specialized expertise, leadership roles, and working in competitive tech environments.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, and MLOps engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in high-growth tech companies.

What are some common challenges Mlops Engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive in the Mlops Engineer position, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
What are the most commonly searched types of Mlops Engineer jobs in Arizona? The most popular types of Mlops Engineer jobs in Arizona are:
What are popular job titles related to Mlops Engineer jobs in Arizona? For Mlops Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer jobs in Arizona look for? The top searched job categories for Mlops Engineer jobs in Arizona are:
What cities in Arizona are hiring for Mlops Engineer jobs? Cities in Arizona with the most Mlops Engineer job openings:
Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Arizona as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $153,133 per year, or $73.6 per hour.

MLOps Engineer

TestingXperts Inc. DBA Damcosoft

Scottsdale, AZ • On-site

Contractor

Re-posted 21 days ago

Job description

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website www.testingxperts.com.

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

Role : MLOps Engineer

Location :  Scottsdale AZ (100% Onsite)

Hire Type : Contract / Full time

No of roles - 7

MLOps Engineer

Role Overview

We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance.

Key Responsibilities

  • Design and implement end-to-end ML pipelines from data ingestion to model deployment
  • Build and manage CI/CD pipelines for ML models (training, testing, deployment)
  • Automate model monitoring, retraining, and performance optimization
  • Collaborate with Data Scientists and Data Engineers for productionizing ML models
  • Ensure scalability, reliability, and security of ML systems
  • Manage model versioning, experiment tracking, and lifecycle management
  • Implement best practices for governance, compliance, and reproducibility

Key Skills & Expertise

  • Strong programming skills in Python
  • Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML
  • Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI
  • Experience with cloud platforms: AWS
  • Strong understanding of data pipelines, ETL processes, and distributed systems