Job Description
We are on a mission to define the artificial intelligence landscape of 2026 and beyond. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of next-generation Generative AI models. If you are passionate about pushing the boundaries of Large Language Models (LLMs), optimizing inference pipelines, and building scalable machine learning infrastructure, we want to hear from you.
In this pivotal role, you will design the architectural foundation for our flagship products, ensuring our AI systems are not only powerful and accurate but also ethical, efficient, and secure. You will collaborate with a world-class team of researchers, engineers, and product designers to transform cutting-edge research into real-world applications that impact millions.
Why Join Us?
- Future-Ready Tech Stack: Work with the latest in PyTorch, TensorFlow, and proprietary AI frameworks.
- Impactful Work: Your code will shape the interaction between humans and machines for years to come.
- Competitive Package: Comprehensive benefits, equity packages, and continuous learning opportunities.
Ready to architect the future? Apply today.
Responsibilities
- Design and Deploy: Architect and deploy scalable, high-performance AI models and inference pipelines for production environments.
- Model Optimization: Implement techniques such as quantization, pruning, and distillation to optimize model performance and reduce latency.
- R&D Collaboration: Partner with research scientists to translate theoretical advancements in Deep Learning into practical engineering solutions.
- Infrastructure Management: Design and maintain MLOps pipelines (CI/CD, containerization, orchestration) using tools like Kubernetes and Docker.
- Ethical AI Governance: Implement guidelines and best practices to ensure AI outputs are fair, unbiased, and safe.
- Code Quality: Mentor junior engineers, conduct code reviews, and establish rigorous engineering standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically focused on Machine Learning or AI.
- Technical Skills: Proficiency in Python (PyTorch, TensorFlow), SQL, and cloud platforms (AWS, GCP, or Azure).
- Modeling: Deep understanding of Deep Learning architectures, specifically Transformers, BERT, and GPT variants.
- System Design: Strong ability to design distributed systems capable of handling high throughput and low latency.
- Soft Skills: Excellent problem-solving abilities, strong communication skills, and a passion for innovation.