Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we architect the intelligent systems of 2026. We seek an AI/ML Engineer to pioneer next-generation autonomous solutions that will redefine industries. This role offers unparalleled opportunity to shape the future through cutting-edge research and deployment of scalable machine learning frameworks in a collaborative, innovation-driven environment.
Responsibilities
- Design and implement advanced neural networks for autonomous decision-making systems
- Lead development of real-time AI inference engines with sub-50ms latency requirements
- Architect federated learning pipelines for cross-domain data collaboration
- Optimize transformer models for edge deployment in IoT ecosystems
- Conduct adversarial robustness testing on production AI systems
- Collaborate with quantum computing teams for hybrid algorithm development
- Publish research in top-tier AI conferences and industry journals
Qualifications
- PhD in Computer Science, AI, or equivalent with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Published work in NeurIPS/ICML/ICLR or equivalent tier conferences
- Proficiency in MLOps tools (Kubernetes, Airflow, MLflow)
- Strong background in reinforcement learning and generative models
- Experience with quantum machine learning algorithms
- Ability to translate complex research into production-ready solutions
- Excellent communication skills for technical leadership