Job Description
Are you ready to architect the future of technology? Nebula Dynamics is pioneering the next generation of Artificial Intelligence, and we are seeking a visionary Senior AI Architect to lead our 2026 roadmap. We are not just building software; we are defining the paradigm of intelligent systems for the coming decade. If you are passionate about pushing the boundaries of what is possible with Generative AI, Large Language Models, and autonomous agents, this is your opportunity to make a massive impact.
In this pivotal role, you will be responsible for designing the core neural architectures that will power our enterprise solutions. You will work in a high-performance environment that rewards innovation, technical excellence, and strategic thinking. Join us in shaping the intelligent world of tomorrow, today.
Responsibilities
- Architect and Design: Lead the end-to-end design of scalable, high-performance neural network architectures for our upcoming 2026 product suite, focusing on efficiency and accuracy.
- Technical Leadership: Mentor a team of talented ML engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Model Optimization: Drive research and implementation of advanced optimization techniques (quantization, pruning, distillation) to deploy models on edge devices and cloud infrastructure.
- Strategic Roadmap: Collaborate with C-suite executives and product managers to define the technical vision and long-term strategy for our AI capabilities.
- Ethical AI: Establish and enforce best practices for AI ethics, ensuring fairness, transparency, and safety in all deployed models.
- R&D Integration: Bridge the gap between cutting-edge academic research and production-grade software engineering.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence.
- Experience: 7+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering, with at least 3 years in a senior leadership or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience in designing and training Large Language Models (LLMs) or Computer Vision models.
- Infrastructure: Strong understanding of MLOps, cloud platforms (AWS/GCP/Azure), and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with elegant, scalable technical solutions.
- Communication: Exceptional verbal and written communication skills, capable of translating complex technical concepts to diverse stakeholders.