Job Description
We are seeking a visionary 2026 AI Infrastructure Engineer to build the backbone of our next-generation artificial intelligence ecosystem. As we pioneer the technologies of tomorrow, you will be responsible for designing scalable, high-performance systems that power our advanced neural networks and data pipelines. This is a unique opportunity to define the architecture of the future.
Responsibilities
- Design and deploy scalable infrastructure for large-scale AI and machine learning models.
- Optimize cloud resource allocation to ensure cost-efficiency and high availability.
- Implement robust MLOps pipelines to streamline model training and deployment.
- Collaborate with data scientists to translate complex models into reliable software services.
- Ensure the security, compliance, and reliability of all internal systems.
- Lead technical initiatives to modernize legacy infrastructure.
Qualifications
- 5+ years of experience in Systems Engineering, DevOps, or a similar technical role.
- Deep expertise in Python, Docker, and Kubernetes.
- Strong understanding of Machine Learning operations (MLOps) and CI/CD practices.
- Proven experience with major cloud providers (AWS, GCP, or Azure).
- Excellent problem-solving skills and ability to work in a fast-paced, innovative environment.
- Experience with distributed systems and microservices architecture.