Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're pioneering next-gen AI/ML solutions that redefine human-machine interaction. As an AI/ML Engineer, you'll architect intelligent systems for autonomous robotics, quantum-enhanced algorithms, and predictive neural networks. Our collaborative environment empowers you to transform theoretical concepts into groundbreaking innovations.
We offer competitive equity packages, flexible hybrid work, and continuous learning stipends. Shape the future with us!
Responsibilities
- Design and implement cutting-edge ML models for autonomous decision-making systems
- Develop quantum-enhanced algorithms for real-time data processing
- Lead neural network architecture for predictive analytics platforms
- Collaborate with robotics teams to embed AI in physical systems
- Optimize computational efficiency for edge deployment in IoT ecosystems
- Research emerging AI paradigms (federated learning, neuromorphic computing)
- Document technical specifications and create API documentation
Qualifications
- MSc/PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years developing production ML systems using TensorFlow/PyTorch
- Expertise in quantum computing frameworks (Qiskit, Cirq)
- Strong background in reinforcement learning for robotics
- Proficiency in distributed computing (Spark, Kubernetes)
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Experience with MLOps pipelines and CI/CD for ML
- Fluency in Python, C++, and cloud architecture (AWS/Azure)