Job Description
Are you ready to architect the future of Artificial Intelligence? Nexus Future Systems is seeking a visionary AI/ML Engineer to join our team in San Francisco. As we prepare for the transformative year of 2026, we need a tech leader who isn't just using existing tools, but defining the next generation of intelligent systems.
In this role, you will lead the development of cutting-edge machine learning models, focusing on scalability, ethics, and real-world impact. You will work at the intersection of data science and engineering to build robust pipelines that power our future products. If you are passionate about the trajectory of AI and want to build the infrastructure for tomorrow, we want to hear from you.
Responsibilities
- Design, train, and deploy scalable machine learning models and neural networks for large-scale applications.
- Optimize data pipelines and model inference to ensure high performance and low latency.
- Collaborate with cross-functional teams of data scientists and product managers to define AI requirements.
- Research and implement novel algorithms to stay ahead of industry trends leading up to 2026.
- Mentor junior engineers and establish best practices for machine learning operations (MLOps).
Qualifications
- Master’s degree or PhD in Computer Science, Statistics, or a related field (or equivalent professional experience).
- Proven experience with Python, PyTorch, TensorFlow, or Scikit-learn.
- Deep understanding of deep learning architectures, NLP, and computer vision.
- Strong proficiency in SQL and cloud platforms (AWS, GCP, or Azure).
- Demonstrated ability to work in agile environments and ship production-ready code.