Job Description
Are you ready to define the trajectory of artificial intelligence? Nebula Future Tech is seeking a visionary AI Architect to lead our breakthrough initiatives for the 2026 horizon. In this pivotal role, you will architect scalable neural networks and ethical AI frameworks that will power the next generation of digital experiences.
We are not just building for today; we are engineering the infrastructure for the year 2026 and beyond. If you thrive on complexity and want to push the boundaries of what's possible in machine learning, we want to meet you.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs)
- Competitive equity package
- Flexible remote-first culture
- Access to state-of-the-art hardware
Responsibilities
- Architect Next-Gen AI Systems: Design and deploy robust machine learning pipelines capable of handling petabytes of data for the 2026 ecosystem.
- Model Optimization: Fine-tune and optimize transformer models to achieve sub-millisecond latency in real-time applications.
- Ethical AI Governance: Implement safety protocols and bias mitigation strategies to ensure responsible AI deployment.
- Technical Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate complex AI capabilities into user-centric features.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead architecture role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and C++.
- Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve ambiguous problems with elegant, scalable technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.