AI/ML Cloud Engineer (RapidScale)

Cox Communications-posted 8 months ago

$99,000 - $165,000/Yr

Full-time • Mid Level

Remote • Raleigh, NC

Broadcasting and Content Providers

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

At RapidScale, exceptional technology is powered by exceptional people. As a growing leader in secure, reliable managed cloud solutions, we help SMBs and enterprises alike simplify IT and unleash innovation. With a broad portfolio spanning AWS, Azure and Google Cloud to a full set of Hosted Cloud and Cybersecurity solutions, RapidScale helps companies turn technology into their biggest competitive advantage. We are seeking a highly skilled AI/ML Cloud Engineer to join our innovative team. In this role, you will be responsible for designing, developing, and implementing cutting-edge AI solutions across multiple cloud platforms. You will work on projects that leverage Generative AI and large language models to solve our customers' complex business problems.

Design and develop Generative AI solutions using cloud-based managed AI services (e.g. Amazon Bedrock, Amazon SageMaker, Google Cloud Vertex AI).
Design and develop AI Agent workflows using cloud and open source agentic frameworks.
Containerize AI applications and deploy them using cloud orchestration services.
Collaborate with data architects/engineers to build end-to-end AI pipelines.
Implement MLOps practices to automate the development, deployment, and monitoring of AI applications and models.
Implement and manage robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and model drift analysis.
Collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize model efficiency over time.
Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects.
Ensure clear and accessible knowledge transfer to internal teams and create knowledge-sharing resources to ensure smooth transitions during model handoffs and system updates.
Contribute to the development of best practices and standards for AI engineering within the organization.

Bachelor's degree in a related discipline and 4 years' experience in Cloud Engineering OR a Master's degree and 2 years' experience OR a Ph.D. and up to 1 year of experience OR 8 years' experience in Cloud Engineering.
Experience using Python programming language to create and integrate GenAI solutions related to business workloads.
2 years of experience managing AI services within one cloud platform (AWS preferred, Google Cloud, Azure).
Experience with container services and orchestration (AWS EKS, ECS, GKE, etc.).
Experience in common machine learning, deep learning, and LLM frameworks, such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, LangGraph.
2 years experience with using Terraform for managing Infrastructure as Code (IaC) as well as CI/CD deployments.

Experience in a client-facing role.
In-depth knowledge of data services across major cloud platforms (AWS or Google Cloud).
Professional certifications with focus on AI/ML from AWS, Google Cloud or Azure.
Experience with agentic workflows and streaming data processing.

Flexible vacation policy allowing employees to take as much vacation with pay as they deem consistent with their duties.
Seven paid holidays throughout the calendar year.
Up to 160 hours of paid wellness annually for their own wellness or that of family members.
Additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Health care insurance (medical, dental, vision).
Retirement planning (401(k)).
Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

AI Engineer Resume Examples

•

AI Engineer Cover Letter Examples

AI/ML Cloud Engineer (RapidScale)

Job Search Resources

Tools

Career Hubs

Guides

Company