ZipRecruiter

Log In

2

Remote Embedded Machine Learning Jobs in Florida

AIS Inc

Data Scientist

Miami, FL · On-site +1

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Humana

VP, Applied AI Solutions

Tampa, FL · On-site +1

This role requires a strong technical background in AI and machine learning, combined with the ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

micro1 AI

Domain Expert - (STEM PhD)

Tampa, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Miami, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

LLM Alignment Specialist - Engineering

Tampa, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Miami, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Jacksonville, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Tampa, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

LLM Alignment Specialist - Engineering

Miami, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Jacksonville, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

next page

Showing results 1-20

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Florida

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 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 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 are the most commonly searched types of Embedded Machine Learning jobs in Florida? The most popular types of Embedded Machine Learning jobs in Florida are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Florida? For Remote Embedded Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Florida look for? The top searched job categories for Remote Embedded Machine Learning jobs in Florida are:
What cities in Florida are hiring for Remote Embedded Machine Learning jobs? Cities in Florida with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Senior Technical Cloud Lead with Generative AI (AWS Bedrock & LLM) - 100% Remote

Senior Technical Cloud Lead with Generative AI (AWS Bedrock & LLM) - 100% Remote

Simple Solutions

Jacksonville, FL • On-site, Remote

$85 - $105/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description


Job Description: Senior Technical Cloud Architect with Generative AI (AWS Bedrock & LLM)
Location: 100% Remote
Employment Type: Full-time / Contract
About the Role
We are seeking a highly motivated Generative AI Consultant with deep expertise in AWS services (especially Bedrock) and hands-on experience implementing Gen AI solutions. The ideal candidate is not only technically strong but also an excellent communicator who can translate complex AI concepts into business value.
Key Responsibilities
  • Design, develop, and deploy Generative AI solutions using AWS Bedrock, SageMaker, and related AI/ML services.
  • Partner with stakeholders to identify use cases, define solution architecture, and deliver proof-of-concepts (POCs) and production deployments.
  • Advise clients on best practices, cost optimization, and security considerations in Gen AI projects.
  • Stay updated on the latest advancements in LLMs, foundation models, and responsible AI practices.
  • Conduct workshops, demos, and presentations to both technical and non-technical audiences.
  • Collaborate with data engineers, ML engineers, and product teams to drive end-to-end AI solution delivery.

Required Skills & Qualifications
  • Strong expertise in AWS Cloud ecosystem, particularly Bedrock, SageMaker, Lambda, API Gateway, and security services.
  • Proven hands-on experience implementing LLM-based solutions (chatbots, summarization, knowledge retrieval, agents, etc.).
  • Solid understanding of vector databases, prompt engineering, and RAG (Retrieval-Augmented Generation).
  • Proficiency in Python and common ML/AI libraries (PyTorch, TensorFlow, LangChain, etc.).
  • Excellent communication and client-facing skills-able to simplify technical ideas and influence stakeholders.
  • Driven, proactive, and comfortable working in fast-paced, ambiguous environments.

Nice-to-Have
  • AWS Certifications (e.g., AWS Certified Machine Learning Specialty, Solutions Architect).
  • Experience with other Gen AI platforms (Azure OpenAI, Google Vertex AI).
  • Familiarity with MLOps and deployment pipelines for Gen AI applications.
  • Prior consulting or client engagement experience.

What We Offer
  • Opportunity to work on cutting-edge Generative AI projects with global impact.
  • A collaborative, innovation-driven environment.
  • Competitive compensation and growth opportunities.

Apply