ZipRecruiter

Log In

1

Physics Informed Machine Learning Jobs in Charleston, SC

Blackbaud

Principal Product Manager, Agentic AI

SC · Remote

$117K - $157K/yr

Stay informed about market trends and competitive offerings to ensure Blackbaud's agentic AI ... Experience managing the maturation of platforms that support machine learning or automation at ...

People also search for

All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in Charleston, SC

Physics Informed Machine Learning information

See Charleston, SC salary details

$4

$18

$23

How much do physics informed machine learning jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for physics informed machine learning in Charleston, SC is $18.77, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $23.85 per hour, depending on experience, location, and employer.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
More about Physics Informed Machine Learning jobs
What are popular job titles related to Physics Informed Machine Learning jobs in Charleston, SC? For Physics Informed Machine Learning jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Charleston, SC look for? The top searched job categories for Physics Informed Machine Learning jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Physics Informed Machine Learning jobs? Cities near Charleston, SC with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Azure Data & AI Architect - Remote US

Azure Data & AI Architect - Remote US

eGroup Enabling Technologies

Charleston, SC • Remote

$59.50 - $77.50/hr

Full-time

Posted 5 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.

Apply