AI/ML Cloud Engineer (RapidScale)

RapidScale; Raleigh (NC); On-site; USD 99,000 - 165,000; Full time

Job summary

An innovative firm is seeking an AI/ML Cloud Engineer to design and implement cutting-edge AI solutions across various cloud platforms. This role encompasses developing Generative AI applications, managing AI services, and ensuring robust MLOps practices. Join a dynamic team that values exceptional talent and offers a commitment to work-life balance, alongside a comprehensive benefits package. If you're passionate about leveraging AI to solve complex business challenges and thrive in a collaborative environment, this opportunity is perfect for you.

Benefits

Flexible paid time off

Wellness hours

Holidays

Other leaves

Qualifications

• 4+ years of experience in Cloud Engineering or equivalent education.
• Expertise in Python for AI solutions and cloud services.
• Experience with container orchestration and MLOps practices.

Responsibilities

• Design and develop AI solutions using cloud services.
• Implement MLOps for AI application deployment and monitoring.
• Collaborate on end-to-end AI pipelines with data teams.

Skills

Python

Cloud Engineering

MLOps

AI Services Management

Terraform

Machine Learning Frameworks

Education

Bachelor's degree in a related discipline

Master's degree

Ph.D.

Tools

AWS

Google Cloud

Azure

Terraform

TensorFlow

PyTorch

scikit-learn

Job description

Join to apply for the AI/ML Cloud Engineer (RapidScale) role at RapidScale

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. As part of the Cox family of companies, we offer best-in-class benefits, a commitment to work-life balance, and an award-winning workplace experience.

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.

As An AI/ML Cloud Engineer, You Will

1. Design and develop Generative AI solutions using cloud-based managed AI services (e.g., Amazon Bedrock, Amazon SageMaker, Google Cloud Vertex AI).
2. Design and develop AI Agent workflows using cloud and open source agentic frameworks.
3. Containerize AI applications and deploy them using cloud orchestration services.
4. Collaborate with data architects/engineers to build end-to-end AI pipelines.
5. Implement MLOps practices to automate the development, deployment, and monitoring of AI applications and models.
6. 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.
7. Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects.
8. Ensure clear and accessible knowledge transfer to internal teams and create knowledge-sharing resources to ensure smooth transitions during model handoffs and system updates.
9. Contribute to the development of best practices and standards for AI engineering within the organization.

Qualifications

Minimum 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.

Preferred Qualifications

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

USD 99,000.00 - 165,000.00 per year

Compensation

Includes a base salary of $99,000.00 - $165,000.00. The salary may vary based on location, skills, and experience. Position may be eligible for additional incentives.

Benefits

Flexible paid time off, holidays, wellness hours, and other leaves. Applicants must be authorized to work in the United States without sponsorship.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and IT
• Industries: Technology, Media