Job Description
Are you ready to shape the digital landscape of 2026? Nexus Horizons is seeking a visionary Future-Ready AI Infrastructure Architect to lead our next-generation platform development. We are building the foundational systems that will power intelligent applications for the next decade. You will bridge the gap between cutting-edge Machine Learning research and scalable, production-grade cloud infrastructure.
Why Join Us?
We are at the forefront of the AI revolution, focusing on infrastructure that scales efficiently and securely. You will work with a team of world-class engineers and data scientists to deploy models that redefine user experiences.
Key Responsibilities:
- Architect and implement scalable, high-performance AI infrastructure pipelines for production environments.
- Design fault-tolerant systems capable of handling petabyte-scale data streams and real-time inference.
- Optimize machine learning models for low-latency deployment across hybrid cloud environments.
- Collaborate with data scientists to translate research into robust, deployable software.
- Establish MLOps best practices, CI/CD pipelines, and monitoring frameworks.
- Lead technical strategy for infrastructure modernization to support 2026 roadmap goals.
Qualifications:
- 8+ years of experience in Software Engineering, DevOps, or Systems Architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud-native technologies.
- Proven experience designing infrastructure on AWS or Azure.
- Strong understanding of containerization technologies (Docker, Kubernetes).
- Experience with distributed systems, message queues (Kafka, RabbitMQ), and NoSQL databases.
- Excellent problem-solving skills and ability to mentor junior engineers.
Apply today to build the future of AI infrastructure.
Responsibilities
- Architect and implement scalable, high-performance AI infrastructure pipelines for production environments.
- Design fault-tolerant systems capable of handling petabyte-scale data streams and real-time inference.
- Optimize machine learning models for low-latency deployment across hybrid cloud environments.
- Collaborate with data scientists to translate research into robust, deployable software.
- Establish MLOps best practices, CI/CD pipelines, and monitoring frameworks.
- Lead technical strategy for infrastructure modernization to support 2026 roadmap goals.
Qualifications
- 8+ years of experience in Software Engineering, DevOps, or Systems Architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud-native technologies.
- Proven experience designing infrastructure on AWS or Azure.
- Strong understanding of containerization technologies (Docker, Kubernetes).
- Experience with distributed systems, message queues (Kafka, RabbitMQ), and NoSQL databases.
- Excellent problem-solving skills and ability to mentor junior engineers.