Job Description
Join the Architects of Tomorrow
Nexus Horizon Systems is pioneering the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI/ML Architect to lead our advanced research division. In this pivotal role, you will design and deploy autonomous systems and generative AI models that will redefine human-machine interaction.
You will be at the forefront of the next industrial revolution, ensuring our infrastructure is scalable, secure, and ethically aligned with future regulations. If you are passionate about pushing the boundaries of what's possible in Artificial Intelligence, we want to hear from you.
Responsibilities
- Lead Model Development: Architect and deploy cutting-edge Large Language Models (LLMs) and multimodal AI systems tailored for 2026 scalability.
- Infrastructure Optimization: Design high-performance MLOps pipelines capable of handling petabyte-scale data ingestion and real-time inference.
- Autonomous Systems: Develop and refine reinforcement learning algorithms to power next-generation autonomous agents and decision-making engines.
- Future-Proofing: Conduct research on emerging AI paradigms (e.g., Neuromorphic Computing, AGI) and integrate relevant technologies into our roadmap.
- Ethical AI Compliance: Establish governance frameworks to ensure AI transparency, fairness, and adherence to evolving global AI regulations.
- Talent Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and modern Deep Learning frameworks.
- Experience: 7+ years of experience in building production-grade AI systems, with a focus on NLP and Generative AI.
- System Design: Proven track record of designing scalable distributed systems and cloud-native architectures (AWS, GCP, or Azure).
- Research Focus: Strong publication record or patent portfolio in AI/ML research is highly preferred.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.