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Executive Full Stack Machine Learning Engineer Jobs in Arizona

Yrefy, LLC

Full Stack Developer

Phoenix, AZ · On-site

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... We encourage experimentation, learning from mistakes, and continuous improvement across teams.

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Master Electronics

Full Stack Developer

Phoenix, AZ

$80K - $100K/yr

We are looking for a Full Stack Developer who can build scalable web applications, solve complex problems, and use AI tools to move faster without compromising quality. This is a great opportunity ...

Master Electronics

Full Stack Developer

Phoenix, AZ · On-site

$80K - $100K/yr

We are looking for a Full Stack Developer who can build scalable web applications, solve complex problems, and use AI tools to move faster without compromising quality. This is a great opportunity ...

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Executive Full Stack Machine Learning Engineer information

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

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

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

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Arizona?

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

What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Arizona look for?

The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Arizona are:

What cities in Arizona are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities in Arizona with the most Executive Full Stack Machine Learning Engineer job openings:

Executive Full Stack Machine Learning Engineer jobs near you
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full Stack Developer

Yrefy, LLC

Phoenix, AZ • On-site

Full-time

Dental, Vision, Life, Retirement

Re-posted 8 days ago

Job description

Job Title: Full Stack Developer
Status: Full-time, On-site
Department: Technology
Reports to: Director of Engineering
About the Role

We’re seeking full stack engineers to expand our platform’s API and service capabilities. You’ll design, implement, and support high-performance, maintainable code that integrates cleanly across multiple modules and external systems. This role is hands-on: building production-grade code, reviewing pull requests, and helping shape our architectural standards. You’ll work closely with DevOps, QA, and UI teams to ensure seamless delivery. This is an ONSITE role in Phoenix with genuine flexibility. Core collaboration hours are 10 AM–3 PM — manage your schedule around that. We don’t track hours or micromanage — we hire professionals and treat them accordingly. You’ll work with experienced engineers who value clean design, accountability, and getting things done right.

Must be authorized to work in the U.S. (no visa sponsorship available)

    Key Responsibilities

    • Design, build, and maintain RESTful APIs and background services in C#/.NET.
    • Implement integrations with internal systems and external financial APIs.
    • Optimize data access and storage using Entity Framework, SQL Server, and efficient query design.
    • Follow and enforce clean architecture and code quality standards.
    • Profile, tune, and refactor slow endpoints and database queries.
    • Collaborate with QA and UAT teams to ensure production reliability.
    • Participate in design sessions, code reviews, and sprint ceremonies.
    • Communicate clearly across disciplines — UI, QA, DevOps, and Product.
    • Contribute to team documentation and shared coding practices.

    What You Bring

    • 2–4 years professional experience in C# and .NET Core/.NET Framework.
    • Strong understanding of RESTful API design and microservice patterns.
    • Experience with Microsoft SQL Server, stored procedures, and performance tuning.
    • Familiarity with Azure services (App Service, Key Vault, Service Bus, Functions).
    • Experience integrating with CI/CD pipelines (Azure DevOps preferred).
    • TypeScript Framework experience
    • Strong debugging, analytical, and communication skills.
    • Ability to balance shipping features with maintaining system stability.

    What We Value

    • Problem solvers who propose solutions, not just identify issues.
    • Self-awareness to spot gaps in your own work and communicate them.
    • Professionals who meet realistic deadlines without hand-holding.

    What We Offer

    • 100% Employer Paid Medical for Employee AND Whole Family Includes the Mayo Clinic
    • 401k/Roth Plan 4% Match with Immediate Vesting
    • Dental Insurance
    • Vision Insurance
    • Company Paid Term Life Insurance
    • Company Paid Short-and Long-Term Disability Insurance
    • Voluntary Pet Discount Plan
    • Fully Subsidized LifeTime Gym Membership*
    • Student Loan Repayment
    • Tuition Reimbursement
    • Catered Friday Lunches
    • Stocked Kitchens
    • Opportunity to Work at a Fast-Growing Company
    • Patent credit
    • And More

    Work Environment

    This is a primarily onsite role with genuine flexibility. Core collaboration hours are 10 AM – 3 PM; manage your full schedule around that. Need a morning at home for an appointment? Handle it. We don’t track hours or micromanage — we hire professionals and treat them accordingly. We encourage experimentation, learning from mistakes, and continuous improvement across teams.

    Apply