Job Description
Shape the future at QuantumLeap Dynamics, where we're pioneering AI solutions for 2026 and beyond. Join our elite team of visionaries in developing next-generation machine learning systems that redefine industry standards. We offer unparalleled growth, cutting-edge resources, and a culture that celebrates bold innovation. If you're ready to transform theoretical possibilities into tangible breakthroughs, this is your moment.
Responsibilities
- Architect and deploy scalable ML models for autonomous systems and predictive analytics
- Lead research in quantum-enhanced neural networks and edge AI optimization
- Collaborate with cross-functional teams to integrate AI solutions into IoT ecosystems
- Develop ethical AI frameworks ensuring compliance with 2026 global regulatory standards
- Mentor junior engineers on advanced ML techniques and deployment strategies
- Drive innovation through rapid prototyping and iterative experimentation
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in TensorFlow, PyTorch, and distributed ML infrastructure (Kubernetes, Spark)
- Proven track record deploying production-grade models at scale (>10M users)
- Strong background in reinforcement learning and federated learning systems
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
- Proficiency in MLOps pipelines and CI/CD for ML workflows
- Deep understanding of quantum computing principles and their AI applications