Cloud AI/ML Engineer

What You’ll Do

• Own production AI engineering, from idea to live system

• Handle end-to-end development, deployment, and scaling of production-grade AI/ML solutions across multiple industries

• Design and implement scalable AI solutions using public cloud platforms and cloud-native services

• Build and ship solutions in machine learning, generative AI, NLP, computer vision, and recommendation systems

• Turn business problems into working AI use cases, such as customer segmentation and automated image tagging

• Monitor, optimize, and continuously improve models in production

• Work closely with product, engineering, and customers to move fast and iterate

What You Bring

• Proficiency in machine learning, generative AI, NLP, computer vision, and recommendation systems

• Familiarity with customer segmentation and automated image tagging

• Hands-on experience deploying and scaling AI/ML solutions in production

• Experience with public cloud platforms (AWS, Azure, or GCP) and cloud-native services

• Strong problem-solving skills and a builder’s mindset

• Clear communication and the ability to explain technical ideas to non-technical people

Nice to Have

• Experience with MLOps, CI/CD, containers, and orchestration (Docker, Kubernetes)

• Experience working across different industries or client domains

• Contributions to open-source or personal AI projects