Job Description
We are at the forefront of the next technological revolution. Zai Future Systems is seeking a visionary Senior AI Engineer to design and deploy the neural architectures that will define the autonomous landscape of 2026 and beyond. If you are passionate about pushing the boundaries of generative AI, deep learning, and human-machine interaction, we want to hear from you.
In this role, you won't just maintain existing models; you will architect the future. You will work in a high-performance environment, collaborating with world-class researchers and product engineers to build systems that are not only intelligent but also scalable, ethical, and transformative.
Responsibilities
- Architect & Deploy: Design and implement state-of-the-art machine learning pipelines and scalable AI solutions for real-time applications.
- Model Optimization: Lead efforts in model quantization, pruning, and inference optimization to reduce latency and cost.
- Research & Development: Stay ahead of the curve in emerging AI trends, specifically in Large Language Models (LLMs) and reinforcement learning.
- MLOps Integration: Establish robust CI/CD pipelines for machine learning, ensuring reproducibility and reliability in production environments.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with product managers to translate complex AI capabilities into user-centric features.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior or lead role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
- Mathematical Fluency: Deep understanding of linear algebra, calculus, probability, and statistics.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.