Job Description
Join Nebula Dynamics as a Senior AI Architect and help define the technological landscape of 2026. We are at the forefront of the next industrial revolution, building scalable, ethical, and high-performance Artificial Intelligence systems that will power tomorrow's enterprises. If you have a passion for pushing the boundaries of what is possible with Generative AI, Large Language Models (LLMs), and Edge Computing, we want to hear from you.
In this pivotal role, you will lead the architectural design for our flagship AI platform, ensuring robustness, security, and scalability. You will bridge the gap between theoretical research and production-grade engineering, mentoring a team of brilliant engineers and data scientists.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of scalable AI infrastructure, including data pipelines, model training clusters, and inference engines.
- Model Strategy: Define the roadmap for adopting next-generation AI technologies, focusing on Generative AI, Computer Vision, and Predictive Analytics for 2026.
- Performance Optimization: Drive initiatives to reduce latency and improve model inference speeds on edge devices and cloud environments.
- Talent Development: Mentor junior architects and engineers, fostering a culture of technical excellence and continuous learning.
- Collaboration: Work closely with product managers and data scientists to translate business requirements into technical roadmaps.
- Compliance & Ethics: Ensure all AI systems adhere to strict ethical guidelines, bias mitigation standards, and regulatory compliance (GDPR/CCPA).
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field (or equivalent professional experience).
- Experience: 7+ years of experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with model deployment frameworks (TorchServe, TensorFlow Serving).
- Cloud Expertise: Deep understanding of cloud architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- System Design: Proven track record of designing high-availability, fault-tolerant distributed systems.
- Soft Skills: Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.