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Remote Embedded Ai Jobs in Florida (NOW HIRING)

Ultimate Knowledge

AI Workflow Engineer

Tampa, FL · Remote

Experience embedded in modern development teams practicing GitOps and CI/CD (required). Working ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

PaceMate

Product Lead

Clearwater, FL · On-site +1

$145K - $160K/yr

Locations (Remote)Why Work at PaceMate? Recognized as a Top 100 Healthcare Technology Company by ... Collaborate daily with engineering as an embedded partner. * Use AI tools to prototype, synthesize ...

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Remote Embedded Ai information

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are the most commonly searched types of Embedded Ai jobs in Florida?

The most popular types of Embedded Ai jobs in Florida are:

What are popular job titles related to Remote Embedded Ai jobs in Florida?

For Remote Embedded Ai jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Ai jobs in Florida look for?

The top searched job categories for Remote Embedded Ai jobs in Florida are:

What cities in Florida are hiring for Remote Embedded Ai jobs?

Cities in Florida with the most Remote Embedded Ai job openings:

Remote Embedded Ai jobs near you
Infographic showing various Remote Embedded Ai job openings in Florida as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

SAP FICO Functional Lead/PM - Remote with some travel

Simple Solutions

Saint Augustine, FL • Remote

$70 - $95/hr

Full-time

Posted 29 days ago

Job description

SAP FICO Functional Lead- Remote with some travel

We are seeking an experienced Principal level SAP FICO Lead Functional Consultant with project management skills on previous projects.  

Lead the SAP finance initiative within discrete manufacturing environment. This role will partner with finance and IT teams to deliver configuration, enhancements, specializing in FICO, Discrete manufacturing and SCM implementations and support across core financial processes. Also having served as a project manager on previous smaller scope projects too. 
For this REQ we prefer US CIT or GC candidates.

Client is manufacturing Photo Voltaic products(Solar panels), using discrete manufacturing, "Made to Order", leveraging "Variant Configuration all strongly preferred. This is a SAP GROW or RISE (SAP Cloud offerings) implementation that will be approximately 6 months.  Learn more about how we deliver excellence for our customers and colleagues at client.

Responsible for the full lifecycle implementation of FI, CO, and associated SAP modules from
in discrete manufacturing and "Made to Order" processes leveraging variant configuration. Some post-implementation support 
Specializes in SAP package solutions and their functional capabilities, using them to address
business requirements, reduce costs, and improve operational visibility.

Job Description
Essential Job Functions:
Manage a team responsible for SAP package software application implementation
through configuration and development. 
Lead workshops to determine system requirements and document findings
Lead projects, allocate resources, and ensure on-time delivery
Configure FI, CO, and associated SAP modules
Provide functional specifications for technical development
Identify and address technical and operational challenges proactively
Monitor and report on project progress and financial metrics
Promote a culture of continuous improvement and learning
Provide technical guidance and mentorship to team members
Foster an environment of teamwork and effective communication
Establish and maintain long-term executive relationships by performing billable advisory
services

Basic Qualifications:
Bachelors degree in a relevant field (i.e., Computer Science) or equivalent combination
of education and experience
8+ years of relevant work experience in industry, with a minimum of 3+ years in a similar
role years of relevant work experience in software engineering and management
Proficiency in 1 or more software languages and development methodologies
Proven experience in team management and software project execution
Solid technical knowledge in package applications
Strong leadership and interpersonal communication skills
Other Qualifications:
• Advanced degree in a relevant field a plus (e.g., MBA)

Soft Skills
  • Strong communication and stakeholder engagement
  • Ability to lead requirements sessions and workshops
  • Previous led a project while being the FICO lead on a mid sized company SAP GROW or RISE Implementation
  • Detail-oriented with strong problem-solving skills
  • Able to operate independently in fast-paced environments


Requirements


GROW with SAP is a commercial cloud ERP offering built on SAP S/4HANA Cloud Public Edition. It helps mid-sized and growing companies adopt an AI-enabled enterprise resource platform for finance, supply chain, and HR in weeks using preconfigured industry best practices. [1, 2, 3]
To learn more about the platform's core architecture and AI capabilities, you can visit the official SAP GROW Product Page. [1]
https://www.youtube.com/watch?v=gaaYEvpCshU
Core Capabilities & AI Features
  • Financial Management: Automates month-end closes, cash flow overviews, and dispute resolution via embedded AI.
  • Supply Chain: Syncs design and production, uses AI for routing searches, and handles demand-driven planning.
  • Rapid Deployment: Allows businesses to go live in weeks using preconfigured templates rather than custom overhauls. [1, 2, 3, 4]