Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Horizon AI is looking for a visionary Senior AI/ML Architect to lead our research into next-generation Artificial General Intelligence (AGI). As we prepare for the technological landscape of 2026, we need a problem solver who isn't just coding today, but inventing the tools of tomorrow.
In this role, you will push the boundaries of what is possible with Large Language Models (LLMs), reinforcement learning, and autonomous agents. You will work directly with our CTO and a world-class team of researchers to build scalable, ethical, and powerful AI systems that will define the future of human-computer interaction.
Responsibilities
- Architect Scalable ML Systems: Design and implement robust, high-performance machine learning infrastructure capable of handling petabyte-scale data streams and real-time inference.
- Pioneer Next-Gen AI: Develop novel algorithms and model architectures specifically tailored for the high-speed demands of 2026 computing environments.
- MLOps Leadership: Oversee the deployment pipeline, ensuring model reliability, monitoring, and automated retraining workflows.
- Interdisciplinary Collaboration: Partner with product and engineering teams to translate complex AI research into practical, user-facing applications.
- Ethical AI Governance: Implement best practices for bias mitigation and data privacy in all AI model training processes.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Technical Expertise: Deep proficiency in Python, PyTorch, or TensorFlow, with extensive experience in Deep Learning frameworks.
- Research Experience: Proven track record of publishing research papers or leading significant technical projects in NLP or Computer Vision.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and microservices.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.