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Remote Audio Machine Learning Jobs in South Carolina

Manager, Software Engineering - AI and Data Platform

SC · Remote

$133K - $173K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning, and agentbased experiences across the company. This role blends people leadership ... Remote-flexible workforce * Wellness Programs * 401(k) program with employer match * Flexible paid ...

Lead Engineer, AI Attack Simulation

Charleston, SC · On-site +1

$95K - $126K/yr

Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Senior AI Product Manager

Charleston, SC · On-site +1

$118K - $156K/yr

  • Retirement

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

$53K/yr

... Effects, audio production software as well as advanced knowledge in Canva and motion graphics ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

IT Support Technician

Charleston, SC · On-site +1

$42K - $55K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

On remote days, they will continue any open support tickets and respond to new tickets from ... The pace is fast, and we're always learning new things. This is a great place if you want to expose ...

Control System Application Engineer

Charleston, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and write PLC programs, to control industrial machinery and processes. Ensure that the ... Continuous Learning: Stay updated with the latest advancements in PLC technology, automation, and ...

Proposal Coordinator

North Charleston, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Proposal Coordinator

Columbia, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Proposal Coordinator

North Charleston, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Proposal Coordinator

Columbia, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Showing results 21-37

Remote Audio Machine Learning information

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

How does a remote audio machine learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What are the key skills and qualifications needed to thrive as a remote audio machine learning engineer?

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

What is a remote audio machine learning?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.

What are the most commonly searched types of Audio Machine Learning jobs in South Carolina?

The most popular types of Audio Machine Learning jobs in South Carolina are:

What job categories do people searching Remote Audio Machine Learning jobs in South Carolina look for?

The top searched job categories for Remote Audio Machine Learning jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Audio Machine Learning jobs?

Cities in South Carolina with the most Remote Audio Machine Learning job openings:

Infographic showing various Remote Audio Machine Learning job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Azure Data & AI Architect - Remote US

eGroup Enabling Technologies

Charleston, SC • Remote

$59.50 - $77.50/hr

Full-time

Re-posted 16 days ago


Job description

eGroup is a remotefirst technology consulting organization and Microsoft partner, focused on delivering thoughtful, reliable solutions while building lasting relationships-with our clients and with one another. We are a ninetime Microsoft Partner of the Year award winner, reflecting our deep technical expertise and commitment to excellence. Our people are at the center of our success, and we believe great work happens when employees feel trusted, supported, and respected. We are committed to integrity, collaboration, accountability, and creating an inclusive workplace where individuals can do meaningful work and continue to grow.

eGroup is hiring a Azure Data & AI Architect to design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).

This is ahandson consulting role- approximately80% delivery / build work, with the remainder focused on continuous learning and occasional presales support.

You'll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and nontechnical stakeholders.

  • This role isnotresearchonly, promptonly, or slidewarefocused. You will be expected toship real solutions.
  • This role isclientfacing. Clear, timely communication and followthrough are part of the job.
  • We review applications forspecificity and real project ownership. If your application is generic, overly polished, or doesn't show whatyoubuilt, it will not move forward.

Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.

Key Responsibilities

Lead EndtoEnd Solution Delivery

  • Own delivery endtoend:requirements architecture design build test deployment
  • Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release

Architect AI Solutions

  • Design and implement AI solutions usingAzure AI services(e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate,Copilot / Copilot Studio
  • Emphasize security, governance, and realworld usability over experimentation for its own sake

Develop Modern Data Platforms

  • Build data platforms usingAzure data services(ADF, Databricks, Synapse, ADLS) and/orMicrosoft Fabric
  • Deliver productiongrade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads

Leverage Automation & Power Platform (Bonus Skill)

  • UsePower Platform(Power Apps, Power Automate, Power BI) when it's the right tool for rapid business value
  • Power Platform experience is a plus, not the primary focus

Collaborate Across Teams

  • Partner with engineers and business stakeholders to translate requirements into buildable designs
  • Coordinate with security and governance teams to ensure solutions meet best practices and client constraints

Client Engagement & Communication

  • Communicate architecture decisions - including tradeoffs - in plain language
  • Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change

Innovation & IP Development

  • Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality

Continuous Learning

  • Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions

PreSales Support (As Needed)

  • Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs

Required Qualifications

Experience

  • 10+ years delivering technology solutions, including5+ years leading data engineering, analytics, or AI work on Azure
  • Clear evidence ofpersonal ownership- you can explain what you built, why you chose it, and what you'd change next time

Azure & Data Expertise

  • Handson experience withAzure AI servicesandAzure data platformsand/orMicrosoft Fabric

Architecture Judgment

  • Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
  • Practical operational mindset (CI/CD and MLOps experience is a plus)

ProblemSolving & Adaptability

  • Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without handholding

Communication & Leadership

  • Strong clientfacing communicator who can explain complex decisions clearly and lead technical direction confidently


Education

  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience


Preferred Qualifications

  • Consulting or professional services background
  • Power Platform and Power BI experience
  • Microsoft Fabric and data governance familiarity
  • Azure DevOps, CI/CD, and infrastructureascode experience
  • Relevant Microsoft certifications
  • Python used in real production systems
  • Experience writing and maintaining code for data processing, automation, or model deployment

If you want to do real client delivery at the intersection of data, AI, and Microsoft, and you enjoy owning outcomes from early discovery through golive, we'd love to meet you.