Job Description
We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. NexusCore Technologies is pioneering the next generation of intelligent systems, and we need a technical leader who thrives in a fast-paced, innovative environment.
In this role, you will architect and deploy state-of-the-art machine learning models that directly impact millions of users. You will work at the intersection of research and engineering, pushing the boundaries of what is possible with Large Language Models (LLMs) and computer vision.
If you are passionate about building scalable AI solutions and want to shape the future of technology, we want to hear from you.
Responsibilities
- Model Architecture: Design, train, and optimize deep neural networks for complex, real-world problems.
- System Deployment: Lead the end-to-end deployment of AI models into production environments using cloud infrastructure (AWS/GCP).
- Performance Optimization: Fine-tune models for latency, throughput, and resource efficiency.
- Research & Development: Stay ahead of the curve by integrating cutting-edge research (e.g., Transformers, Diffusion Models) into our product suite.
- Collaboration: Partner with cross-functional teams including data scientists, product managers, and backend engineers.
- Mentorship: Mentor junior engineers and foster a culture of technical excellence and continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning or AI engineering.
- Programming: Expert-level proficiency in Python, PyTorch, or TensorFlow.
- Tools: Strong experience with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
- Cloud: Hands-on experience deploying models on major cloud platforms (AWS, Azure, or GCP).
- Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.