Job Overview

We are looking for a Cloud AI Engineer to build, deploy, and manage AI and Machine Learning solutions on cloud platforms. The successful candidate will optimize cloud infrastructure, automate AI workflows, and ensure high-performance AI applications.

Key Responsibilities

• Deploy AI and Machine Learning models on AWS, Azure, and Google Cloud.
• Build scalable cloud-native AI applications and APIs.
• Implement MLOps pipelines for continuous integration and deployment.
• Manage cloud infrastructure, storage, networking, and security.
• Monitor model performance and optimize cloud resources.
• Collaborate with data scientists and software engineers to productionize AI solutions.
• Automate workflows using Infrastructure as Code (Terraform, CloudFormation).

Required Qualifications

• Bachelor’s degree in Computer Science, Cloud Computing, Engineering, or related field.
• 3+ years of experience in cloud engineering or AI infrastructure.
• Strong knowledge of AWS, Azure, or Google Cloud services.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Proficiency in Python and cloud automation tools.
• Understanding of Machine Learning lifecycle and model deployment.

Preferred Skills

• Experience with Generative AI and LLM deployment.
• Knowledge of Databricks, Vertex AI, SageMaker, or Azure AI Services.
• Cloud certifications (AWS, Azure, GCP).

Benefits

• Competitive salary ($110K–$160K)
• Remote work opportunities
• Paid training and certification support
• Health and wellness benefits
• Annual performance bonuses