Job Description
Are you ready to architect the future of Artificial Intelligence? Nexus Horizon Systems is seeking a visionary AI/ML Infrastructure Architect to build the backbone of our next-generation autonomous systems. In this pivotal role, you will define the technical roadmap for our 2026 product suite, ensuring our infrastructure is scalable, secure, and capable of handling the demands of next-gen Large Language Models.
As a leader in the AI space, we are committed to pushing the boundaries of what is possible. You will work in a collaborative, high-performance environment where your expertise in distributed systems and machine learning will directly impact millions of users worldwide.
Responsibilities
- Design and implement scalable, fault-tolerant AI infrastructure for agentic workflows and autonomous agents.
- Lead the architecture of MLOps pipelines, ensuring seamless deployment, monitoring, and scaling of machine learning models.
- Collaborate with data scientists and engineers to optimize model inference and reduce latency in real-time applications.
- Establish security protocols and governance frameworks for sensitive AI data processing.
- Evaluate and integrate emerging technologies (e.g., edge computing, quantum-ready algorithms) into our core stack.
- Drive technical decision-making and mentor junior engineers on best practices for cloud-native development.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in Machine Learning Infrastructure or MLOps.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Experience with vector databases (Pinecone, Milvus) and semantic search technologies.
- Proven track record of optimizing large-scale systems for high throughput and low latency.
- Master’s degree in Computer Science, Data Science, or a related technical field is preferred.