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Contract Machine Learning Engineer Jobs in Arizona

Intel

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

Knowledge of Machine Learning and Generative AI frameworks * Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious, resourceful, fast-moving, and focused on ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

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All JobsContract Machine Learning Engineer JobsContract Machine Learning Engineer Jobs in Arizona

Contract Machine Learning Engineer information

See Arizona salary details

$29.4K

$120K

$180.3K

How much do contract machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for contract machine learning engineer in Arizona is $119,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Arizona?

The most popular types of Machine Learning Engineer jobs in Arizona are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Arizona?

For Contract Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Engineer jobs in Arizona look for?

The top searched job categories for Contract Machine Learning Engineer jobs in Arizona are:

What cities in Arizona are hiring for Contract Machine Learning Engineer jobs?

Cities in Arizona with the most Contract Machine Learning Engineer job openings:

Contract Machine Learning Engineer jobs near you
Infographic showing various Contract Machine Learning Engineer job openings in Arizona as of August 2026, with employment types broken down into 3% Internship, 73% Full Time, 21% Contract, and 3% Nights. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $119,998 per year, or $57.7 per hour.

ML Machine Learning Engineer

InterSources Inc

Phoenix, AZ • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
InterSources Inc is an Award-Winning Global Software Consultancy focused on Digital Transformations across various domains. They are seeking a Machine Learning Engineer to create and deliver technical solutions for their AI/Client Engineering portfolio, collaborating with business teams and technology partners to operationalize model development and drive the adoption of Machine Learning.
Responsibilities:
• Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for end to end of model development life cycle.
• Communication with release manager on product related issues and enhancements.
• Uplift existing system to new Client platform and conduct migration testing Automated transformation and data analysis pipeline to create visualization reports and monitoring
• Capability of implementing REST/function API with various types of database
• Review metadata, provide trouble shooting and change requirement between file batches
• Capability of writing, debugging and compiling codes in Machine learning Operation environment
• More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Client
Qualifications:
Required:
• At least 3+ years of experience in the following areas: Bachelor or Master degree in Computer Science, Computer Engineering.
• Hands on knowledge of JAVA, Python, Rest API, Function API, SQL/Hive QL
• Deep understanding of CI/CD process and tools like Git, Docker, Jenkins, XL Release etc.
• Experience with SQL/NSQL databases (MongoDB, Couchbase, Postgres, Cassandra)
• Knowledge in public cloud platforms like AWS, GCP, and Azure
• Ability to scale to big data framework (Hive, pySpark)
• Ability to work in cross functional teams
• Excellent data presentation and visualization skills
Preferred:
• Nice to have experience with any of the Container technologies
• Kubernetes, Helm, Openshift etc.
• Prefer knowledge on Airflow, MLflow.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Social media

Twitter

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