Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we architect the future of artificial intelligence. We're seeking visionary AI/ML Engineers to develop transformative solutions that will redefine industries by 2026. This role offers unparalleled opportunities to work with cutting-edge quantum computing integration, neural network optimization, and predictive analytics frameworks. Our collaborative environment fosters innovation where your expertise will directly impact next-gen autonomous systems, climate modeling, and personalized AI experiences.
Responsibilities
- Design and deploy scalable ML pipelines for real-time data processing and model inference
- Architect quantum-enhanced AI algorithms to solve complex computational challenges
- Lead development of ethical AI frameworks ensuring bias mitigation and regulatory compliance
- Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
- Research and prototype novel neural network architectures for 2026-era applications
- Optimize model performance using distributed computing and quantum acceleration techniques
- Document technical specifications and create implementation roadmaps for AI initiatives
Qualifications
- Master's or PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years developing production ML systems with Python, TensorFlow, and PyTorch
- Expertise in quantum computing concepts and quantum machine learning algorithms
- Proven track record deploying models at scale on cloud platforms (AWS/GCP/Azure)
- Strong foundation in statistical analysis and experimental design for ML validation
- Experience with MLOps tools (Kubernetes, Kubeflow, MLflow) and CI/CD automation
- Published research in top-tier AI/ML conferences or significant industry contributions