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Senior Full Stack Machine Learning Engineer Jobs in Arizona

goTenna, Inc.

Lead Full Stack Engineer

Phoenix, AZ · On-site

$170K - $200K/yr

The Lead Full Stack Engineer will lead the execution, delivery, and technical direction of our ... Placement at the appropriate job level (entry, senior, etc) will be determined by a combination of ...

goTenna

Lead Full Stack Engineer

Phoenix, AZ · On-site

$170K - $200K/yr

The Lead Full Stack Engineer will lead the execution, delivery, and technical direction of our ... Placement at the appropriate job level (entry, senior, etc) will be determined by a combination of ...

goTenna

Lead Full Stack Engineer

Phoenix, AZ · On-site

$170K - $200K/yr

The Lead Full Stack Engineer will lead the execution, delivery, and technical direction of our ... Placement at the appropriate job level (entry, senior, etc) will be determined by a combination of ...

IntraEdge

Full Stack Engineer

Phoenix, AZ

Hands-on experience with Vert.x or similar reactive programming frameworks * Strong understanding of full stack development (backend + UI) * Experience with frontend technologies (React, Angular, or ...

IntraEdge

Full Stack Engineer

Phoenix, AZ

Hands-on experience with Vert.x or similar reactive programming frameworks * Strong understanding of full stack development (backend + UI) * Experience with frontend technologies ( React, Angular, or ...

Basata

Forward Deployed Engineer (Full Stack)

Tempe, AZ · On-site

You'll be a true full-stack software engineer with strong applied AI experience , responsible for ... We're learning machines: always reading, asking, improving. Because when we grow as people, we ...

Verra Mobility

Senior Software Developer

Mesa, AZ

$54 - $71.50/hr

Verra Mobility is looking to hire an experienced full-stack engineer on our Connected Vehicle ... Knowledge of Machine learning, AI concepts, and Blockchain is a plus * Experienced in Agile ...

Staffingine LLC

Full Stack Engineer

Phoenix, AZ · On-site

Full Stack Engineer Job Location: Phoenix - Arizona - USA Job Type: Contract * Develop and design scalable secure and robust software solutions * Develop backend services with Nodejs TypeScript ...

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Senior Full Stack Machine Learning Engineer information

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

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

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 cities in Arizona are hiring for Senior Full Stack Machine Learning Engineer jobs? Cities in Arizona with the most Senior Full Stack Machine Learning Engineer job openings:
Senior Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ

$110K/yr

Other

Posted 16 days ago

Job description

Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments. You’ll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions. What You’ll Do
- Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment - Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow - Integrate models into production systems (APIs, batch pipelines, real-time services) - Implement model validation, evaluation metrics, and performance monitoring - Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements - Collaborate with data engineers and domain experts to prepare and validate datasets - Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments - Troubleshoot model and pipeline issues; perform root cause analysis and optimization - Contribute to technical documentation, test plans, and operational runbooks - Participate in design reviews, architecture discussions, and Agile development processes - Mentor junior engineers and promote engineering best practices Requirements
- U.S. Citizenship - Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field - 4+ years of experience in: - Machine Learning Engineering - Applied AI/ML development - Production ML systems - Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) - Experience developing, training, and deploying ML models in real-world applications - Solid understanding of the ML lifecycle (data > training > validation > deployment > monitoring) - Experience building maintainable, production-quality software - Familiarity with Docker and cloud environments (AWS, Azure, or GCP) - Experience working in Agile and CI/CD environments - Strong problem-solving, communication, and collaboration skills Preferred Qualifications
- Master’s degree in a related field - Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) - Experience transitioning models from research to production environments - Familiarity with experiment tracking, model versioning, and reproducibility practices - Experience with GPU-based ML workflows and cloud ML platforms - Background in defense, intelligence, or other regulated environments Why Join PSG?
At PSG, you’re not just taking a job—you’re building technology that matters.
- Competitive compensation & benefits - 9/80 flexible work schedule - Professional development & tuition assistance - Small, agile team with high ownership and visibility - Work on mission-critical systems supporting national security - Opportunities to grow across AI/ML, software engineering, and platform development Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems. Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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