Job Description
The 2026 Opportunity: Nebula Horizon is pioneering the next industrial revolution. We are seeking a visionary Senior AI Architect to lead the development of our flagship General Intelligence platform. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, real-world deployment. If you are passionate about defining the ethical and technical standards for the future of AI, this is your stage.
As a member of our elite research division, you will work on cutting-edge Large Language Models (LLMs), autonomous agents, and multimodal neural networks. You will not just adapt to the future; you will invent it.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural network architectures capable of processing complex, multimodal data streams for 2026 applications.
- Model Optimization: Lead research into model compression, quantization, and efficient inference to reduce latency and resource consumption.
- Ethical AI Governance: Establish frameworks for AI safety, fairness, and transparency to ensure responsible deployment of autonomous systems.
- MLOps Leadership: Oversee the full machine learning lifecycle, from data ingestion and training pipelines to production monitoring and rollback strategies.
- Technical Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning within the engineering team.
- Research Publication: Contribute to top-tier conferences (NeurIPS, ICML) and maintain a thought leadership presence in the AI community.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in AI/ML research, software engineering, or a combination of both, with at least 2 years in a lead or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Familiarity with distributed computing frameworks (Ray, Kubernetes).
- Research Track Record: Demonstrated ability to publish high-impact research papers and solve open-source problems.
- Domain Knowledge: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.