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Remote Embedded Machine Learning Jobs in Arizona

PNC Bank

Fraud Model Analyst

Phoenix, AZ · On-site +1

$45K - $103.50K/yr

... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ... machine learning to predict business outcomes. * Assists with analytical experiments in a ...

USAA

Data Scientist I

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops scalable, automated solutions using machine learning, simulation, and optimization to ...

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning. * Cloud ...

JDA

Principal Solution Advisor, Execution

Scottsdale, AZ · Remote

$150K - $190K/yr

US-Remote with the ability to travel up to 50% What You'll Do: * Serve as a trusted advisor to ... Knowledge of AI, machine learning, and advanced analytics technologies as they apply to supply ...

Arizona Department of Administration

$18/hr

REMOTE OPTIONS, PHOENIX Categories: Information Technology/Services, Internship DEPARTMENT OF ... Machine Learning, Data Science, or related technologies. • Data management, data analytics, ETL ...

Deloitte

Databricks Engineer

Tempe, AZ · On-site +1

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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Remote Embedded Machine Learning information

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are the most commonly searched types of Embedded Machine Learning jobs in Arizona? The most popular types of Embedded Machine Learning jobs in Arizona are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Arizona? For Remote Embedded Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Arizona look for? The top searched job categories for Remote Embedded Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Remote Embedded Machine Learning jobs? Cities in Arizona with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Fraud Model Analyst

Fraud Model Analyst

PNC Bank

Phoenix, AZ • On-site, Remote

$45K - $103.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 331 frontline employees who took The Breakroom Quiz

66th of 141 rated banks

Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Fraud Model Analyst within PNC's Technology organization, you will be based in Pittsburgh PA, Birmingham AL, Farmers Branch TX, Strongsville OH, Phoenix AZ or Louisville KY
Requirements:
Python, R Language, SQL, SAS nice to have
Statistical Modeling, Validation
Data Science, Statistics and Data Analytics
Graph Database experience
Data Correlation and VisualizationThis position may be eligible for remote work in select geographic locations, subject to approval by PNC. If approved, work must be conducted from a quiet, secure, and confidential home-based workspace. Occasional in-office participation may be required based on business needs.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Supports the team with analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
  • Participates in the data gathering, data processing and data mining of large and complex datasets.
  • Supports the team in developing algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes.
  • Assists with analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
  • May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelors (Required)CertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $45,000.00 - $103,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 02/26/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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