Job Description
Are you ready to shape the future of artificial intelligence? Join 2026, a visionary company pioneering the next generation of generative models and autonomous systems. We are looking for a visionary Senior AI Architect to lead our core infrastructure and drive innovation in scalable machine learning systems.
In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI models are robust, efficient, and ethically sound.
Responsibilities
- Architectural Leadership: Design and implement scalable machine learning infrastructure and data pipelines using cutting-edge technologies.
- Model Optimization: Lead the optimization of large-scale neural networks to ensure low latency and high throughput in production environments.
- Team Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- R&D Collaboration: Work closely with research scientists to translate academic breakthroughs into deployable software solutions.
- System Reliability: Establish monitoring, logging, and alerting systems to maintain high availability of AI services.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- Experience: 5+ years of experience in machine learning engineering, with at least 2 years in a senior architectural role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Kubernetes, Spark).
- Cloud Expertise: Strong experience deploying models on major cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex technical problems and make architectural decisions under pressure.