Job Description
We are seeking a visionary Senior AI Research Scientist to spearhead the 2026 Strategic Roadmap at Nexus Future Systems. In this pivotal role, you will define the next generation of artificial intelligence infrastructure, focusing on scalable Large Language Models (LLMs) and autonomous agent systems designed to revolutionize enterprise operations by the year 2026.
As a leader in our technical organization, you will bridge the gap between theoretical research and practical application. You will work in a high-performance, collaborative environment alongside world-class engineers and data scientists. If you are passionate about pushing the boundaries of Generative AI and shaping the technological landscape of the future, this is your opportunity to lead.
Responsibilities
- Lead the end-to-end research and development of advanced AI models for the 2026 Initiative, ensuring alignment with long-term strategic goals.
- Design and optimize deep learning architectures using Python, PyTorch, and CUDA to maximize computational efficiency.
- Collaborate with product and engineering teams to translate research findings into production-grade, scalable software solutions.
- Mentor and guide a team of junior researchers, fostering a culture of innovation and technical excellence.
- Implement robust MLOps pipelines to ensure continuous monitoring, versioning, and automated deployment of models.
- Stay at the forefront of industry trends, publishing research papers and contributing to open-source communities.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in research, development, or deployment of AI/ML systems.
- Deep proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong expertise in distributed systems, cloud computing (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven experience in Natural Language Processing (NLP) and large-scale model training.
- Excellent problem-solving skills with the ability to articulate complex technical concepts to non-technical stakeholders.