Job Description
We are pioneering the next generation of autonomous intelligence. Nebula Dynamics is seeking a visionary Lead AI Engineer to spearhead our revolutionary Project 2026 initiative. In this role, you will architect scalable neural networks and define the roadmap for AGI alignment, working at the intersection of deep learning and ethical technology.
Our mission is to build systems that don't just process data but understand context, intent, and nuance in ways we've only dreamed of until now. If you are passionate about the future of technology and ready to lead a team of world-class researchers, we want to hear from you.
Responsibilities
- Architect & Deploy: Design and implement state-of-the-art machine learning models, including Large Language Models (LLMs) and generative AI frameworks.
- MLOps Leadership: Establish robust CI/CD pipelines and infrastructure for model training, validation, and deployment using cloud-native technologies.
- Research & Innovation: Stay ahead of the curve in AI research, integrating the latest advancements (e.g., transformers, reinforcement learning) into production systems.
- Team Mentorship: Guide a high-performing engineering team, fostering a culture of technical excellence and continuous learning.
- Strategic Planning: Define the technical vision for Project 2026, ensuring alignment with company goals and industry standards.
- Performance Optimization: Drive the optimization of model latency, throughput, and resource efficiency for real-time applications.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or senior technical role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Cloud Mastery: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Problem Solving: Proven track record of solving complex technical challenges in distributed systems and high-scale data processing.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and engineering teams alike.