Job Description
Are you ready to architect the technological backbone of the future?
Nexus Horizon is seeking a visionary Senior AI Infrastructure Engineer to lead our initiatives for the 2026 technological landscape. We are not just building today; we are engineering the digital foundation for tomorrow. If you thrive in high-performance environments and want to shape the core of next-gen artificial intelligence systems, this is your stage.
In this role, you will bridge the gap between cutting-edge AI research and robust, scalable production systems. You will be instrumental in deploying autonomous agents and neural networks that redefine efficiency.
Responsibilities
- Architect and maintain high-availability AI infrastructure for scalable model deployment.
- Optimize deep learning pipelines to reduce latency and increase throughput for real-time applications.
- Collaborate with data scientists to implement MLOps best practices and CI/CD pipelines.
- Ensure the security and privacy of proprietary training data across distributed networks.
- Lead the migration of legacy systems to modern cloud-native architectures.
- Conduct performance tuning and resource allocation strategies for GPU clusters.
Qualifications
- 5+ years of experience in backend engineering, distributed systems, or MLOps.
- Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
- Strong expertise in containerization (Docker/Kubernetes) and cloud platforms (AWS/GCP/Azure).
- Experience with serverless computing and event-driven architectures.
- Deep understanding of machine learning model lifecycle management.
- Excellent problem-solving skills and the ability to mentor junior engineers.