AI/ML Cloud Engineer (RapidScale)

Cox Communications • Raleigh, NC

292d • $99,000 - $165,000 • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Broadcasting and Content Providers
• Education Level: Bachelor's degree