Location: Remote / On-site (Flexible)
Job Type: Full-time
Job Description:
We are seeking an innovative and results-driven AI / Cloud Engineer to join our tech team. In this role, you will be responsible for building, deploying, and maintaining cloud infrastructure while integrating advanced AI and machine learning models into scalable production environments.
Key Responsibilities:
* Design, deploy, and manage scalable cloud architectures across platforms such as AWS, Azure, or GCP.
* Implement and optimize machine learning models and AI pipelines into cloud applications.
* Develop reliable CI/CD pipelines to automate cloud deployments and model monitoring.
* Ensure system security, data privacy, high availability, and optimal cloud infrastructure performance.
* Collaborate with software engineers, data scientists, and DevOps teams to streamline system integrations.
Requirements:
* Experience: 2 to 5 years of proven experience in cloud engineering, AI deployment, or MLOps roles.
* Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
* Strong proficiency in programming languages like Python, Java, or C++, along with experience using AI frameworks (TensorFlow, PyTorch, or OpenAI APIs).
* Hands-on experience with cloud platforms (AWS/Azure/GCP), containerization (Docker, Kubernetes), and infrastructure code tools (Terraform).
* Relevant cloud or AI certifications (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a strong plus.
How to Apply:
If you meet the requirements and are ready for your next career step, please submit your updated resume to our Email with the subject line "Application: AI / Cloud Engineer".