Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution! We're seeking a visionary AI/ML Engineer to architect next-generation systems that will redefine industries. Our dynamic team operates at the intersection of quantum computing, neural networks, and sustainable AI, building solutions that solve humanity's grand challenges. If you're passionate about creating autonomous systems that learn, adapt, and evolve, this is your opportunity to shape the future.
Responsibilities
- Design and implement scalable ML pipelines for predictive analytics and autonomous decision-making
- Develop cutting-edge neural network architectures using quantum-inspired algorithms
- Optimize AI models for edge deployment in 6G and IoT ecosystems
- Collaborate with cross-functional teams to integrate AI into sustainable energy systems
- Research and implement federated learning solutions for privacy-preserving AI
- Lead development of explainable AI frameworks for high-stakes industries
- Architect hybrid cloud-native infrastructure for real-time AI inference
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years experience
- Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
- Proven track record deploying production-grade AI systems at scale
- Strong background in quantum machine learning or neuromorphic computing
- Experience with MLOps tools (Kubeflow, MLflow, BentoML)
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Deep understanding of ethical AI frameworks and bias mitigation