Job Description
Shape the future of AI at QuantumLeap Systems! We're seeking visionary AI/ML Engineers to develop breakthrough solutions for our 2026 roadmap. Join our elite team building autonomous systems, next-gen neural networks, and ethical AI frameworks. Enjoy cutting-edge resources, collaborative innovation labs, and the opportunity to work on projects that will redefine industries.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing
- Lead development of generative AI models for 2026 product ecosystem
- Optimize deep learning architectures for edge computing deployment
- Conduct rigorous A/B testing and performance validation
- Collaborate with cross-functional teams on AI ethics and governance
- Research and integrate emerging quantum-computing compatible algorithms
- Mentor junior engineers in MLOps best practices
Qualifications
- 5+ years in ML engineering with Python, TensorFlow, and PyTorch
- Expertise in distributed computing frameworks (Spark, Kubernetes)
- PhD or MS in Computer Science/ML with 2026-relevant research
- Published work on transformer architectures or federated learning
- Proven experience deploying models at production scale (>10M users)
- Strong background in AI ethics and bias mitigation
- Proficiency in cloud platforms (AWS/GCP/Azure) ML services