Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nebula Dynamics is seeking a visionary AI Architect to lead our next-generation research division. In this pivotal role, you will design the neural architectures that will power the autonomous systems of tomorrow.
We are not just building software; we are crafting the future. Join a team of elite engineers and data scientists committed to pushing the boundaries of Generative AI and Cognitive Computing.
Responsibilities
- Architect Scalable AI Solutions: Design and implement robust deep learning frameworks capable of handling petabyte-scale data streams with zero latency.
- Lead R&D Initiatives: Spearhead the research roadmap for the 2026 Initiative, focusing on AGI (Artificial General Intelligence) safety and efficiency.
- Model Optimization: Continuously refine and optimize existing models to improve accuracy, speed, and resource utilization in production environments.
- Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Planning: Collaborate with product leaders to translate complex business requirements into cutting-edge technical roadmaps.
- Security & Compliance: Ensure all AI systems adhere to the highest standards of data privacy, security, and ethical AI usage.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on AI or Machine Learning.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architectural role.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Apache Spark).
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Proven track record of solving complex, unstructured problems in ambiguous environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.