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Remote Full Stack Machine Learning Engineer Jobs in Arizona

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Lead the Design, develop, and deploy innovative, scalable AI/ML solutions focusing on the full ...

Provn

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$122K - $161K/yr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/eb37a2b9 -e60d-4cac-8a3b ... Architecting, designing, and delivering features and services across a full-stack travel platform ...

Varsity Tutors

Web Development Tutor

Glendale, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Mesa, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Gilbert, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Tempe, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Tucson, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Chandler, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Phoenix, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Varsity Tutors

Web Development Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Virtual Teammate

AI Builder

Glendale, AZ · On-site +1

$7 - $8/hr

The ideal candidate is both a strong full-stack developer and an AI enthusiast capable of working ... Remote Hourly salary $7 - $8

Provn

Senior Program Manager

Scottsdale, AZ · Remote

$102K - $150K/yr

... engineering, product, and business stakeholders. Comp: $102,000 - $150,000 base. Remote (US). Full ... About Provn Your Provn Application is your edge to rise to the top of resume stacks. You will ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Arizona

Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
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 Remote Full Stack Machine Learning Engineer jobs in Arizona? For Remote Full Stack Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Arizona with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Principal AI Engineer

Principal AI Engineer

Ascend Learning

Gilbert, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 Greatest Workplaces as well as America's Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
For over 37 years, National Academy of Sports Medicine® (NASM®) has set the standard in fitness and wellness credentials and certification with best-in-class, evidence-based programming. An Ascend Learning brand, NASM has delivered over 1.4 million fitness professionals in over 100 countries. From personal training to nutrition coaching, wellness to sports performance, NASM trainers and specialists work at every level to help clients set and reach their unique goals. Join us in igniting potential and making a lasting impact in the fitness and wellness industry.
WHAT YOU'LL DO
As a Principal AI Engineer, you will be pivotal in driving the evolution of our AI-powered products and solutions, shaping the future of education through innovative technology. This position will lead the design, development and deployment of scalable solutions using Generative AI and Machine Learning foundational models. As a hands-on technical lead, you will guide the team in solving complex AI problems, architecting solutions for AI projects, and contributing to the successful implementation of AI strategy at Ascend. The Principal AI Engineer position will report to the Principal Architect and will work with the Innovation, Architecture, NASM and Ascend ITS teams, and coordinate with other teams that have a stake in the development process.
WHERE YOU'LL WORK
This position will work a hybrid schedule from our Gilbert, AZ office location. Remote will be considered
HOW YOU'LL SPEND YOUR TIME
  • Lead the Design, develop, and deploy innovative, scalable AI/ML solutions focusing on the full lifecycle of projects from conception to deployment, including building and optimizing AI models
  • Lead the team in building scalable, high-performance LLMOps pipelines.
  • Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and processes
  • Remain versed on the latest advancements in the field, leading research initiatives, experimenting with new algorithms, and identifying opportunities for innovation. This can involve exploring LLMs (Large Language Models), embedding pipelines, and generative AI search/retrieval frameworks.
  • Provide technical leadership, guidance, and hands-on coding throughout the implementation phase, ensuring seamless integration of AI features, aligning with stakeholders to define AI and Product Roadmaps which enable corporate objectives
  • Manage and preprocess large datasets, design efficient data processing pipelines, and ensure data integrity and security in adherence to privacy regulations.
  • Experience designing and implementing AI/ML models with feedback loops and automated re-training and fine-tuning pipelines
  • Collaborate with cross-functional teams, including product teams, data scientists, and data engineers, software engineers to integrate AI capabilities into existing and new products
  • Provide technical mentorship and guidance to team members, fostering a culture of growth and innovation
  • Guide junior engineers in best practices for AI/ML, review their work, and offer feedback to foster their growth. Oversee and guide design review sessions across different projects, ensuring consistency and adherence to best practices.
  • Ensure that AI solutions are developed and deployed ethically, considering fairness, accountability, and transparency
  • Take ownership of defining project milestones, timelines, and ensuring successful delivery within specified deadlines
  • Contribute to the development and maintenance of coding standards, best practices, and documentation
  • Stay up to date with the latest AI Developments and trends

WHAT YOU'LL NEED
  • Bachelor' degree preferred in Computer Science/Artificial Intelligence or closely related field. Equivalent professional experience will also be considered. High School diploma or GED required
  • 6+ years of progressive work experience in data and analytics, big data related positions with at least 3 years in developing and implementing Analytical applications
  • Experience building and deploying LLM models, prompt engineering, context management, and embedding techniques using MS Azure and competitive cloud services
  • Advanced understanding and practical experience in machine learning and natural language processing, especially large language models (LLMs) and their integration, optimization, and evaluation
  • Experience using analytics/ML tools such as Python, NLTK, HuggingFace, SQL, and Snowflake
  • Experience with CI/CD pipelines, containerization technologies like Docker and Kubernetes, and MLflow or similar tools for lifecycle management of machine learning models.
  • Proven ability to translate innovative ideas into practical, scalable solutions
  • Intrinsic motivation with a strong desire to make a positive impact on the organization
  • Excellent problem-solving, and critical-thinking skills, and an aptitude for innovation
  • Demonstrate leadership experience and lead a team of junior AI engineers
  • Excellent verbal, written, and presentation communication skills
  • Aspirations for professional development and growth opportunities
  • Impact-oriented and user-focused, team-first mindset

BENEFITS
  • Flexible and generous paid time off
  • Competitive medical, dental, vision and life insurance
  • 401(k) employer matching program
  • Parental leave
  • Wellness resources
  • Charitable matching program
  • On-site workout facilities (Leawood, Gilbert, Burlington)
  • Community outreach groups
  • Tuition reimbursement

Fostering A Sense of Belonging
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

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