Job Description
We are seeking a visionary Senior AI Architect to lead the architectural design of our next-generation computing infrastructure. At Nexus Future Systems, we are not just predicting the future; we are building the tools that will define the 2026 era of artificial intelligence. You will be responsible for designing scalable, robust, and secure AI systems that power our core product ecosystem.
In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering. You will collaborate with world-class data scientists and engineers to deploy cutting-edge Generative AI models and optimize deep learning pipelines for real-world application. If you are passionate about pushing the boundaries of what is possible with technology and want to work in a high-impact, premium environment, we want to hear from you.
Responsibilities
- Architect and implement scalable Machine Learning pipelines for high-volume real-time inference.
- Lead the design of proprietary Neural Network architectures optimized for Edge Computing environments.
- Collaborate with cross-functional teams to integrate advanced Large Language Models (LLMs) into our platform.
- Establish and enforce MLOps best practices, including automated testing, CI/CD, and model versioning.
- Ensure the security, privacy, and ethical use of AI data across all product layers.
- Mentor junior engineers and data scientists in advanced deep learning techniques and architectural patterns.
Qualifications
- Master’s or PhD degree in Computer Science, AI, Robotics, or a related technical field.
- Minimum of 5+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
- Expert proficiency in Python and modern deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Strong understanding of Cloud Architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven experience deploying and optimizing NLP and Computer Vision models at scale.
- Demonstrated ability to lead technical roadmaps and influence product strategy through technical innovation.