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Remote Python Ai Jobs in South Carolina (NOW HIRING)

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Experience with Python and/or other code languages required * 6 Sigma Black Belt certification ...

Data Engineer

Charleston, SC ยท On-site +1

$107K - $128K/yr

Remote /hybrid flexibility. Position Overview We are seeking a highly capable Data Engineer to ... Develop Python-based ingestion and transformation processes. * Support orchestration and storage ...

Remote (must be local to Columbia, SC) Overview Seeking an experienced EDI Application Developer ... Python * APIs, LDAP, and authentication technologies * AWS or cloud platforms * AI or automated ...

New

Remote Python Ai information

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are popular job titles related to Remote Python Ai jobs in South Carolina? For Remote Python Ai jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in South Carolina look for? The top searched job categories for Remote Python Ai jobs in South Carolina are:
What cities in South Carolina are hiring for Remote Python Ai jobs? Cities in South Carolina with the most Remote Python Ai job openings:
Azure Data & AI Architect - Remote US

Azure Data & AI Architect - Remote US

eGroup Enabling Technologies

Charleston, SC โ€ข On-site, Remote

$135K/yr

Full-time

Re-posted 14 days ago


Job description

eGroup is a remote-first 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 nine-time 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 a hands-on consulting role - approximately 80% delivery / build work, with the remainder focused on continuous learning and occasional pre-sales 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 non-technical stakeholders.
  • This role is not research-only, prompt-only, or slideware-focused. You will be expected to ship real solutions.
  • This role is client-facing. Clear, timely communication and follow-through are part of the job.
  • We review applications for specificity and real project ownership. If your application is generic, overly polished, or doesn't show what you built, 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 End-to-End Solution Delivery
  • Own delivery end-to-end: requirements โ†’ architecture โ†’ design โ†’ build โ†’ test โ†’ 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 using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio
  • Emphasize security, governance, and real-world usability over experimentation for its own sake

Develop Modern Data Platforms
  • Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric
  • Deliver production-grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads

Leverage Automation & Power Platform (Bonus Skill)
  • Use Power 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

Pre-Sales Support (As Needed)
  • Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs

Required Qualifications
Experience
  • 10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on Azure
  • Clear evidence of personal ownership - you can explain what you built, why you chose it, and what you'd change next time

Azure & Data Expertise
  • Hands-on experience with Azure AI services and Azure data platforms and/or Microsoft 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)

Problem-Solving & Adaptability
  • Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand-holding

Communication & Leadership
  • Strong client-facing 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 infrastructure-as-code 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 go-live, we'd love to meet you.