Job Description
Join QuantumLeap Dynamics in pioneering the next frontier of artificial intelligence. We're seeking visionary AI/ML Engineers to architect solutions that will define 2026's technological landscape. This role offers unparalleled opportunities to shape emerging AI paradigms while working with industry-leading quantum computing infrastructure and neural network innovations.
Our cross-functional teams collaborate on autonomous systems, predictive analytics, and ethical AI frameworks that will transform industries worldwide. You'll develop scalable machine learning models, implement cutting-edge deep learning architectures, and contribute to patents that will shape the future of human-AI interaction.
Responsibilities
- Design and deploy production-grade ML models for autonomous decision-making systems
- Develop quantum-enhanced neural networks for next-gen AI applications
- Implement ethical AI frameworks ensuring bias mitigation and transparency
- Collaborate with quantum computing teams to optimize hybrid AI-quantum algorithms
- Lead research initiatives in explainable AI and predictive analytics
- Architect scalable AI infrastructure processing petabyte-scale datasets
- Mentor junior engineers in emerging ML methodologies
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years experience
- Expertise in TensorFlow, PyTorch, and quantum ML frameworks (Qiskit, Cirq)
- Proficiency in Python, R, and distributed computing frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Experience deploying ML models on quantum hardware
- Strong background in ethical AI development and bias mitigation
- Certification in cloud AI platforms (AWS SageMaker, GCP Vertex AI)