Job Description
Join QuantumLeap Systems at the forefront of 2026 technological innovation as an AI/ML Engineer. We're pioneering next-generation autonomous systems that will redefine industries. This role offers unparalleled opportunity to architect and deploy cutting-edge machine learning solutions in a collaborative, future-focused environment. You'll work alongside world-class researchers to transform theoretical concepts into practical applications that solve humanity's most pressing challenges.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing
- Develop novel deep learning architectures for autonomous decision-making systems
- Optimize model performance using distributed computing frameworks
- Collaborate with cross-functional teams to integrate AI solutions into production environments
- Research and implement state-of-the-art techniques in transfer learning and reinforcement learning
- Lead model deployment and monitoring in cloud-native infrastructure
- Mentor junior engineers on emerging AI methodologies
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years experience
- Expert proficiency in Python, TensorFlow, and PyTorch frameworks
- Proven track record deploying production-grade ML systems at scale
- Deep understanding of distributed computing (Spark, Kubernetes)
- Strong background in MLOps and CI/CD for ML workflows
- Published research in top-tier AI/ML conferences or journals
- Experience with quantum computing integration for optimization problems
- Exceptional problem-solving skills for ambiguous future-facing challenges