Job Description
Shape the Future of Intelligence
Are you ready to architect the next generation of artificial intelligence? Nebula Dynamics is seeking a visionary Lead AI Engineer to spearhead Project 2026, our ambitious initiative to redefine the boundaries of AGI and futuristic computing. We are looking for individuals who are not just proficient in code, but are pioneers in thought, ready to build the systems that will define the technological landscape of the coming decade.
In this role, you will lead a world-class team of researchers and engineers, pushing the envelope of neural architectures and ethical AI frameworks. This is an opportunity to work on high-impact projects that will transform industries from healthcare to space exploration.
Responsibilities
- Architect and deploy scalable, high-performance AI models for complex real-world applications, focusing on efficiency and explainability.
- Lead research initiatives into next-generation neural network architectures and quantum-enhanced computing approaches.
- Establish and enforce best practices for data governance, model security, and responsible AI usage.
- Mentor junior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
- Collaborate cross-functionally with product managers, designers, and stakeholders to translate technical concepts into tangible business value.
- Oversee the full lifecycle of machine learning projects, from data ingestion to model deployment and production monitoring.
- Drive the technical roadmap for Project 2026, ensuring alignment with long-term strategic goals.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Minimum of 8+ years of experience in machine learning engineering, deep learning, or AI research, with 3+ years in a leadership capacity.
- Proven expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Strong background in Natural Language Processing (NLP) or Reinforcement Learning is highly preferred.
- Demonstrated ability to lead technical teams and drive strategic technical decisions in a fast-paced environment.
- Experience with MLOps tools and cloud platforms (AWS, GCP, or Azure) at a massive scale.
- Passion for the future of technology and a commitment to ethical AI development.