Job Description
Join Nexus AI Solutions at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect transformative machine learning systems that will shape the future of human-computer interaction. This role offers unparalleled opportunities to work on cutting-edge projects in generative AI, autonomous systems, and predictive analytics within a collaborative, R&D-driven environment. Our competitive compensation package includes equity, comprehensive benefits, and dedicated innovation time.
Responsibilities
- Design and deploy scalable ML pipelines for next-generation autonomous systems
- Lead research in generative AI models and multimodal learning architectures
- Collaborate with quantum computing teams to develop hybrid AI solutions
- Optimize neural networks for edge deployment in IoT ecosystems
- Mentor junior engineers on ethical AI development practices
- Present breakthrough findings at industry conferences and patent innovations
- Architect cloud-native ML infrastructure for petabyte-scale datasets
Qualifications
- PhD in Computer Science/AI or equivalent with 7+ years industry experience
- Expertise in transformer architectures, diffusion models, and reinforcement learning
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency in PyTorch, TensorFlow, and MLOps tools (MLflow, Kubeflow)
- Strong background in distributed computing and GPU optimization
- Experience with quantum machine learning frameworks (Qiskit, PennyLane)
- Demonstrated ability to lead cross-functional technical initiatives