Job Description
Are you ready to architect the future of artificial intelligence? Nexus Horizon Systems is on the hunt for a visionary Senior AI/ML Architect to lead our technology roadmap leading up to 2026. We are building the foundational infrastructure for the next generation of intelligent applications.
In this pivotal role, you won't just maintain existing systems; you will design and deploy scalable, fault-tolerant machine learning architectures that define the competitive landscape of 2026 and beyond. You will work at the intersection of cutting-edge research and production-grade engineering.
Why join us?
- Impactful Work: Shape the core AI infrastructure used by millions.
- Future-Ready: Focus on technologies and methodologies relevant to the 2026 tech landscape.
- Top-Tier Compensation: Competitive salary and equity packages.
Join us in defining the next era of intelligent computing.
Responsibilities
- System Architecture: Design and oversee the development of scalable, high-performance AI and machine learning pipelines and infrastructures.
- Roadmap Planning: Strategically plan the technical roadmap for 2026, integrating emerging technologies like generative AI and edge computing.
- Model Optimization: Lead efforts in model training, fine-tuning, and deployment (MLOps) to ensure optimal performance and latency.
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaboration: Work closely with product and business leaders to translate complex AI capabilities into tangible business value.
- Security & Compliance: Implement robust security protocols and ensure compliance with data privacy regulations.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 8+ years of experience in software engineering or data science, with at least 3 years in a senior architect or lead role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing frameworks (Kubernetes, Spark).
- Cloud Expertise: Proven track record deploying models on major cloud platforms (AWS, GCP, Azure).
- Problem Solving: Strong ability to solve complex, ambiguous problems in large-scale environments.
- Communication: Excellent verbal and written communication skills for technical presentations.