Remote AI/ML Cloud Engineer Needed at RapidScale Rapid Scale

Digitaltidewave; United States; Remote; USD 99,000 - 165,000; Full time

Job summary

Une entreprise innovante recherche un AI/ML Cloud Engineer pour concevoir et réaliser des solutions d'intelligence artificielle sur plusieurs plateformes cloud. Vous serez responsable de l'élaboration de flux de travail AI en utilisant des services tels qu'Amazon SageMaker et Google Cloud Vertex AI, tout en collaborant pour construire des pipelines efficientes. Ce rôle exige un diplôme en ingénierie cloud et une expertise en Python, ainsi qu'une passion pour révolutionner les solutions d'entreprise par l'AI.

Benefits

Flexibilité de prendre des vacances payées

160 heures de bien-être payées annuellement

Congés payés pour deuil, vote, jury, bénévolat

Qualifications

• 4 ans d'expérience en Cloud Engineering ou équivalent, ou 2 ans avec un Master.
• Expérience en programmation Python pour des solutions GenAI.
• 2 ans d'expérience en gestion de services AI sur une plateforme Cloud.

Responsibilities

• Concevoir et développer des solutions AI génératives en utilisant des services Cloud.
• Mettre en œuvre des pratiques MLOps pour automatiser le développement et le déploiement.
• Collaborer avec des équipes pour construire des pipelines AI de bout en bout.

Skills

Python

Gestion des services AI

MLOps

Infrastructure as Code (IaC)

Machine Learning

Deep Learning

Education

Bachelor’s degree in a related discipline

Master’s degree in a related discipline

Ph.D. in a related discipline

Tools

TensorFlow

PyTorch

scikit-learn

Terraform

Amazon Bedrock

Amazon SageMaker

Google Cloud Vertex AI

Job description

Job role:AI/ML Cloud Engineer

Company name: RapidScale

Location:Remote, USA

Salary: $99,000 – $165,000 Annually

Read also:Data Architect- Senior Associate| Remote Needed at PwC

About the Job: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.

Role Overview
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.

Responsibilities in this Role

• 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.

Required Qualifications/Experience
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 of 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 with focus on AI/ML from AWS, Google Cloud or Azure.
• Experience with agentic workflows and streaming data processing.

Compensations and Benefits:
Compensation includes a base salary of $99,000.00 – $165,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities.
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for 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.

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