Job Description
We are on the precipice of the next industrial revolution. As the Generative Intelligence Architect, you will lead the charge in building the foundational models that will define the technological landscape of 2026 and beyond. At Nexus Future Systems, we are not just integrating AI; we are architecting the future of autonomous systems and cognitive computing.
Join a world-class team of researchers and engineers dedicated to pushing the boundaries of Large Language Models (LLMs), diffusion models, and multimodal AI. If you have a passion for solving complex problems at the intersection of mathematics and computer science, we want to hear from you.
Responsibilities
- Model Engineering: Design, train, and fine-tune proprietary generative models to achieve state-of-the-art performance on complex benchmarks.
- System Architecture: Architect scalable, high-performance inference systems capable of handling millions of concurrent requests.
- R&D Leadership: Conduct cutting-edge research into emerging paradigms such as agentic workflows and self-improving AI systems.
- MLOps Optimization: Build and maintain robust CI/CD pipelines for model training, evaluation, and deployment.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate advanced AI research into tangible business value.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in deep learning, NLP, or Generative AI.
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Research Background: A strong publication record in top-tier conferences (NeurIPS, ICML, ACL, ICLR) is highly preferred.
- Infrastructure: Deep understanding of distributed training, GPU optimization, and cloud computing (AWS/GCP/Azure).