Job Description
Join NeuroSphere Dynamics, a pioneering force in artificial intelligence, as we redefine the boundaries of human-machine interaction. We're seeking a visionary Senior AI Engineer to architect and deploy next-generation neural networks that will shape the technological landscape of 2026. You'll collaborate with elite researchers to transform complex data into transformative solutions across healthcare, climate science, and autonomous systems.
Responsibilities
- Design and implement scalable AI frameworks using TensorFlow, PyTorch, and custom neural architectures
- Lead end-to-end ML pipeline development from data ingestion to production deployment
- Optimize deep learning models for real-time inference in edge computing environments
- Conduct cutting-edge research in federated learning and quantum-ML hybrid systems
- Mentor junior engineers and establish best practices for AI ethics and bias mitigation
- Collaborate with product teams to translate AI capabilities into market-ready innovations
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years of industry experience
- Expertise in Python, CUDA, and distributed computing frameworks
- Proven track record deploying production-grade ML systems at scale
- Deep understanding of transformer architectures, reinforcement learning, and generative AI
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact