Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we architect the intelligent systems of 2026. We're seeking visionary AI/ML Engineers to transform tomorrow's challenges into today's solutions. Our cross-disciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics to build autonomous systems that redefine industry standards. This role offers unparalleled opportunities to pioneer breakthrough algorithms and deploy scalable machine learning frameworks in a collaborative, innovation-driven environment.
Responsibilities
- Design and implement cutting-edge ML models for predictive analytics and autonomous decision systems
- Develop quantum-enhanced neural networks for next-generation AI applications
- Architect scalable data pipelines processing petabyte-scale datasets
- Collaborate with research teams to translate theoretical innovations into production-ready solutions
- Optimize model performance for edge deployment in IoT ecosystems
- Lead A/B testing frameworks for AI system validation and improvement
- Mentor junior engineers on emerging ML paradigms and ethical AI implementation
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing APIs
- Proven track record deploying ML models at scale (>10M user systems)
- Strong proficiency in Python, C++, and distributed computing (Spark/Kubernetes)
- Research publication record in top-tier AI/ML conferences (NeurIPS, ICML)
- Experience with MLOps pipelines and CI/CD for ML systems
- Demonstrated understanding of ethical AI frameworks and bias mitigation