Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking an AI/ML Systems Architect to design and deploy next-generation autonomous systems that will redefine industries. Work with our elite team to transform quantum computing capabilities into practical AI solutions while maintaining ethical AI governance frameworks. This role offers unparalleled opportunities to shape the future of intelligent automation in a collaborative, innovation-driven environment.
Responsibilities
- Architect scalable ML pipelines integrating quantum processors and edge computing
- Lead development of ethical AI governance frameworks for autonomous systems
- Optimize neural network architectures for real-time decision-making
- Collaborate with quantum hardware teams to co-design hybrid computing systems
- Implement federated learning protocols for distributed AI models
- Design explainable AI (XAI) interfaces for regulatory compliance
- Drive innovation in generative AI applications for industrial automation
Qualifications
- 8+ years in ML systems architecture with 3+ years in quantum AI integration
- Expertise in PyTorch/TensorFlow with quantum computing frameworks (Qiskit, Cirq)
- PhD in Computer Science or equivalent practical experience
- Published research in quantum machine learning or explainable AI
- Proven track record deploying production ML systems at scale
- Strong background in federated learning and differential privacy
- Certification in AI governance frameworks (e.g., NIST RMF)