Job Description
Join QuantumLeap Technologies at the forefront of shaping tomorrow's digital landscape. We're seeking visionary AI/ML Engineers to architect next-generation systems for 2026 and beyond. Our cross-disciplinary team tackles complex challenges in autonomous systems, quantum-ML integration, and ethical AI governance. If you thrive at the intersection of bleeding-edge research and scalable implementation, this is your moment to redefine what's possible.
What you'll achieve: Design production-grade ML pipelines for autonomous decision-making frameworks, pioneer quantum-enhanced algorithms, and contribute to our industry-leading ethical AI framework. Collaborate with Nobel laureates and deploy solutions impacting billions.
Responsibilities
- Architect and deploy ML systems for autonomous decision-making frameworks (2026 roadmap)
- Develop quantum-enhanced algorithms for real-time optimization challenges
- Implement ethical AI governance protocols ensuring bias mitigation and transparency
- Lead cross-functional R&D sprints with quantum computing specialists
- Optimize neural networks for edge deployment in resource-constrained environments
- Contribute to open-source frameworks powering next-gen AI infrastructure
Qualifications
- MS/PhD in Computer Science, AI, or Quantum Computing (3+ years industry experience)
- Expertise in PyTorch/TensorFlow with production-level MLOps implementation
- Published research in quantum machine learning or autonomous systems
- Proficiency in C++/Rust for high-performance algorithm optimization
- Familiarity with quantum computing frameworks (Qiskit, Cirq)
- Experience deploying models at 10M+ transaction scale
- Strong background in AI ethics and bias mitigation frameworks