Job Description
We are looking for a visionary Senior AI/ML Architect to lead the charge in building the technological infrastructure for the 2026 era. At Nexus Horizon, we don't just predict trends; we engineer the future. You will be responsible for designing scalable, secure, and cutting-edge AI systems that will define the next generation of enterprise intelligence.
Why Join Us?
We are a fast-paced, elite team working on proprietary Large Language Models and autonomous agents. If you want to work on problems that matter and build the stack for 2026, this is your opportunity.
Key Benefits:
• Competitive salary and equity package.
• Comprehensive health, dental, and vision coverage.
• Unlimited PTO and flexible remote/hybrid work options.
• Access to the latest hardware for AI research.
Responsibilities
- Architect and design scalable AI/ML infrastructure capable of supporting 2026-scale data volumes and inference demands.
- Lead the research and development of advanced Generative AI models and fine-tuning strategies.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Define technical roadmaps and best practices for machine learning engineering across the organization.
- Ensure system reliability, security, and performance optimization of deployed models.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct deep-dive research into emerging AI paradigms to keep the company ahead of the curve.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of experience in software engineering with a strong focus on AI/ML.
- Deep expertise in Python, PyTorch, TensorFlow, and MLOps pipelines.
- Proven track record of designing and deploying large-scale machine learning systems in production.
- Experience with LLMs, RAG architectures, and vector databases.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.