Job Description
Are you ready to architect the future of intelligence? Apex Systems Inc. is seeking a visionary AI Infrastructure Architect to lead the deployment of scalable, high-performance machine learning systems. In this pivotal role, you will bridge the gap between cutting-edge AI research and robust, enterprise-grade infrastructure. Join a team that is redefining the boundaries of what is possible in 2026 and beyond.
Why Join Us?
- Work on groundbreaking projects that shape the next generation of technology.
- Competitive compensation package and comprehensive benefits.
- Flexible remote and hybrid work policies.
- Access to state-of-the-art hardware and research tools.
Responsibilities
- Design and implement scalable AI/ML infrastructure pipelines optimized for high-throughput data processing.
- Lead the architecture of Kubernetes-based environments to support large-scale model training and inference.
- Collaborate with data scientists and engineers to optimize model performance and reduce latency.
- Ensure the security, compliance, and resilience of AI workloads across cloud and on-premise environments.
- Drive the adoption of next-gen hardware accelerators (GPUs/TPUs) for distributed computing tasks.
- Define and enforce best practices for CI/CD in machine learning workflows.
Qualifications
- 8+ years of experience in Systems Engineering, DevOps, or Cloud Architecture.
- Deep expertise in Python, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
- Proven track record of designing infrastructure for large-scale Machine Learning models.
- Strong understanding of distributed systems, networking, and storage technologies.
- Experience with quantum computing architectures or edge AI deployment is a plus.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.