ZipRecruiter

Log In

2

Cloud Computing Trainer Remote Jobs in Georgia (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of ...

Humana

Technical FinOps Analyst

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud architecture knowledge (AWS, Azure, GCP), infrastructure monitoring, scripting (Python, Bash ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Humana

Technical FinOps Analyst

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud architecture knowledge (AWS, Azure, GCP), infrastructure monitoring, scripting (Python, Bash ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Humana

Technical FinOps Analyst

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud architecture knowledge (AWS, Azure, GCP), infrastructure monitoring, scripting (Python, Bash ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

asburyauto

Qlik Sense Developer

Sandy Springs, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Cloud. This role requires a customer-focused mindset, technical expertise, and flexibility to ... Primarily remote with occasional travel to office locations as needed • Flexible working hours to ...

asburyauto

Qlik Sense Developer

Sandy Springs, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Cloud. This role requires a customer-focused mindset, technical expertise, and flexibility to ... Primarily remote with occasional travel to office locations as needed • Flexible working hours to ...

previous page

Showing results 41-60

All JobsCloud Computing Trainer JobsCloud Computing Trainer Remote JobsCloud Computing Trainer Remote Jobs in Georgia

Cloud Computing Trainer Remote information

What is the difference between Cloud Computing Trainer Remote vs Cloud Support Specialist?

AspectCloud Computing Trainer RemoteCloud Support Specialist
CredentialsCertifications like AWS, Azure, or Google Cloud; teaching credentials optionalCertifications such as AWS, Azure, or Google Cloud; technical support certifications beneficial
Work EnvironmentRemote, primarily conducting training sessions online or in virtual classroomsRemote or on-site, providing technical support and troubleshooting cloud services
Employer & Industry UsageEducational institutions, corporate training providers, cloud service companiesIT service providers, cloud vendors, enterprise IT departments

While both roles require cloud certifications and involve cloud technology, Cloud Computing Trainer Remote focuses on educating and training users remotely, whereas Cloud Support Specialist provides technical support and troubleshooting for cloud services. The roles differ mainly in their primary functions but share similar credentials and work environments.

What is a cloud computing trainer remote?

A Cloud Computing Trainer (Remote) is a professional who teaches individuals or groups about cloud computing concepts, platforms, and tools through online or virtual formats. They design and deliver training sessions, create instructional materials, and help learners understand cloud technologies like AWS, Azure, or Google Cloud. Working remotely, they use digital platforms to conduct live classes, webinars, and hands-on labs, ensuring participants gain practical skills. Their goal is to equip trainees with the knowledge needed to use, manage, or develop cloud-based systems effectively.

What are some common challenges faced by a remote cloud computing trainer, and how can they be addressed?

As a remote Cloud Computing Trainer, one common challenge is effectively engaging participants who may be in different time zones or have varying levels of technical expertise. To address this, trainers often use interactive teaching tools, schedule sessions at mutually convenient times, and provide supplementary materials for self-paced learning. Additionally, maintaining clear communication and being responsive to questions helps foster a supportive virtual learning environment. Collaborating with other trainers and curriculum developers can also enhance training quality and ensure the content remains up-to-date.

What are the key skills and qualifications needed to thrive as a cloud computing trainer remote?

To thrive as a Cloud Computing Trainer (Remote), you need deep expertise in cloud platforms like AWS, Azure, or Google Cloud, along with relevant certifications and instructional experience. Familiarity with learning management systems (LMS), virtualization tools, and cloud deployment pipelines is typically required. Excellent communication, presentation, and adaptability skills are crucial for engaging diverse learners and delivering complex concepts clearly. These skills ensure effective knowledge transfer and empower professionals to succeed in evolving cloud environments.

What are the most commonly searched types of Cloud Computing Trainer jobs in Georgia?

The most popular types of Cloud Computing Trainer jobs in Georgia are:

What are popular job titles related to Cloud Computing Trainer Remote jobs in Georgia?

For Cloud Computing Trainer Remote jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Cloud Computing Trainer Remote jobs in Georgia look for?

The top searched job categories for Cloud Computing Trainer Remote jobs in Georgia are:

What cities in Georgia are hiring for Cloud Computing Trainer Remote jobs?

Cities in Georgia with the most Cloud Computing Trainer Remote job openings:

Cloud Computing Trainer Remote jobs near you
Infographic showing various Cloud Computing Trainer Remote job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Re-posted 24 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.