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AWS Engineer with GenAI

This role is for an AWS Engineer with GenAI, offering a hybrid position in Clifton, NJ. Contract length and pay rate are unspecified. Key skills include AWS, AI model deployment, Python, Terraform, and cloud engineering experience. A degree in Computer Science or Engineering is required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 12, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Clifton, NJ
🧠 - Skills detailed
#Automation #Computer Science #Data Science #GCP (Google Cloud Platform) #Data Management #Model Deployment #Scala #Cloud #Data Engineering #Deployment #Terraform #Data Pipeline #Programming #Monitoring #AWS (Amazon Web Services) #Shell Scripting #AI (Artificial Intelligence) #Logging #Scripting #DevOps #Python #Azure #ML (Machine Learning)
Role description
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Iris's Fortune 100 direct client is looking for AWS Engineer with GenAI. Please find below Job description and share me your updated resume at Jatin.gupta@irissoftware.com.

Position: AWS Engineer with GenAI

Location: Clifton, NJ (Hybrid position)

Must-have

Key Responsibilities:
• Design, build, and manage cloud infrastructure for deploying generative AI models and other machine learning applications.
• Collaborate with data scientists, AI researchers, and development teams to integrate AI-driven solutions into cloud platforms.
• Engineering and optimize scalable cloud-based AI environments on platforms like AWS, Azure, Google Cloud, or others.
• Deploy, monitor, and maintain cloud-native applications and services related to AI, ensuring they are reliable and secure.
• Develop automation scripts and DevOps pipelines for deploying AI models and related cloud resources.
• Implement monitoring and logging solutions to track the performance and health of cloud-based AI systems.
• Provide support for data management and integration, ensuring smooth data pipelines for training AI models.
• Stay current with the latest developments in cloud technologies and generative AI to continuously improve infrastructure and processes.
• Troubleshoot and resolve cloud infrastructure and AI model performance issues.

Requirements:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience in cloud engineering with expertise in cloud platforms (AWS, Azure, GCP, etc.) with good Hands-on.
• Experience with AI model deployment, optimization, and scaling in cloud environments.
• Proficient in programming languages such as Python, Terraform, and shell scripting.
• Strong understanding of machine learning pipelines, data engineering, and cloud-based AI tools.
• Familiarity with CI/CD processes for AI model updates and cloud deployments.
• Experience with monitoring, logging, and troubleshooting cloud-based AI systems.
• Ability to collaborate effectively in a cross-functional team of engineers, data scientists, and AI researchers.