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AWS Cloud Engineer

This role is for an AWS Cloud Engineer with Generative AI experience, offering a hybrid contract in Clifton, NJ for over 6 months at a competitive pay rate. Requires 3+ years in cloud engineering, proficiency in Python, Terraform, and AI model deployment.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 12, 2025
🕒 - Project duration
More than 6 months
🏝️ - 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 #Langchain #Programming #Monitoring #TensorFlow #AWS (Amazon Web Services) #Shell Scripting #AI (Artificial Intelligence) #PyTorch #Logging #Scripting #Hugging Face #DevOps #Python #Azure #ML (Machine Learning)
Role description
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Iris's client, one of the world's Largest Financial Firm is looking to hire for a long term contract opportunity.

Work location: Clifton, NJ (Hybrid Onsite – 3 day’s a week)

AWS Cloud Engineer with Generative AI Experience

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.
• Integrate generative AI models into existing systems or develop new systems around these models to enhance functionality and user experience.
• Develop automation scripts and DevOps pipelines for deploying AI models using MLops terraform or CICD tool.
• 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 GenAI Application model and performance issues.

Requirements:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in cloud engineering with expertise in cloud platforms (AWS, Azure, GCP, etc.)
• Experience with AI model deployment, optimization, and scaling in cloud environments.
• Proficient in programming languages such as Python (Langchain/PyTorch/Tensorflow), Terraform, Hugging Face 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.

Iris has been growing at over 100% annually. In a program sponsored by Price Waterhouse, PNC Bank and Marsh, Iris has been honored for being

  • One of New Jersey's Finest 25 companies for the year 2001 and 2002.

  • Iris is also ranked 75th among Inc 500 s list of privately held companies for year 2001.

  • NJ Technology FAST 50 Company for year 2002.

In a competitive industry, we distinguish ourselves by reliability, technical expertise and a history of successfully completed projects for clients ranging from mid-sized to Fortune