Cloud Engineer

At goML, we design and build cutting-edge Generative AI, AI / ML, and Data Engineering solutions that help businesses unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications – helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly.

We’re looking for a Cloud Engineer with strong AWS expertise and hands-on experience in designing, deploying, and optimizing scalable cloud environments. In this role, you’ll architect and manage secure, cost-efficient, and high-performance cloud infrastructure that powers AI / ML and GenAI solutions at enterprise scale. If you thrive in solving complex cloud challenges and enabling teams with reliable, cloud-native systems, we’d love to hear from you!

Why You? Why Now?

As AI adoption accelerates, cloud infrastructure becomes the foundation that enables enterprises to scale their AI / ML workloads. This role is ideal for someone who loves building cloud-native architectures, optimizing infrastructure, and ensuring cloud environments are production-ready for AI.

What You’ll Do (Key Responsibilities)

First 30 Days : Foundation & Orientation

• Deep dive into goML’s AI / ML & GenAI workloads and cloud architecture patterns
• Familiarize yourself with AWS environments, networking, and monitoring frameworks at goML
• Review existing infrastructure and identify optimization opportunities
• Shadow AI / ML teams to understand cloud requirements for model training and inference

First 60 Days : Execution & Impact

First 180 Days : Ownership & Transformation

What You Bring (Qualifications & Skills)

Must-Have :

Nice-to-Have :

Why Work With Us?