Job Description
Are you ready to define the trajectory of technology for the 2026 era? At Chronos Dynamics, we are not just building the future; we are engineering it. As we approach the pivotal year of 2026, we are seeking a visionary Lead AI Architect to spearhead our breakthrough research in predictive neural interfaces and autonomous systems. You will be at the forefront of creating the intelligent infrastructure that will power the next generation of smart cities and consumer electronics. Join us in shaping a world where artificial intelligence seamlessly integrates with human potential.
Responsibilities
- Architect and implement scalable deep learning frameworks designed to meet the rigorous demands of 2026 consumer electronics standards.
- Lead a cross-functional team of data scientists and engineers to develop next-generation predictive models for autonomous decision-making systems.
- Optimize neural network latency and throughput to ensure real-time processing capabilities in edge computing environments.
- Establish and enforce best practices for AI model training, validation, and deployment pipelines.
- Conduct research into emerging technologies, including quantum computing integration and neuromorphic hardware.
- Collaborate with product managers to translate complex technical requirements into feasible AI solutions.
- Mentor junior staff and foster a culture of continuous innovation and technical excellence.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
- Minimum of 5 years of professional experience in designing and deploying production-grade AI/ML systems.
- Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming.
- Proven track record of working with large-scale datasets and distributed computing architectures.
- Strong understanding of neural network architectures, including Transformers, GANs, and Reinforcement Learning.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Willingness to travel to R&D facilities and industry conferences as required.