Job Description
About the Role:
We are pioneering the next generation of artificial intelligence, defined by the vision for 2026. We are seeking a visionary Senior AI Infrastructure Engineer to architect scalable systems that power the future of machine learning. You will bridge the gap between theoretical research and production-grade deployment, ensuring our models are efficient, robust, and ready for the demands of tomorrow.
Why Join Us?
Be at the forefront of innovation. Work with cutting-edge technologies, mentor a team of brilliant engineers, and define the technical roadmap for the next decade.
Responsibilities
- Design and implement high-performance computing infrastructure to support large-scale LLM training and inference.
- Optimize model latency and throughput using distributed computing frameworks and hardware acceleration (TPUs, GPUs).
- Collaborate with data scientists to translate research into scalable production pipelines.
- Implement robust CI/CD pipelines for ML model deployment and monitoring.
- Ensure data security and privacy compliance across all infrastructure layers.
Qualifications
- 7+ years of experience in software engineering with a focus on machine learning infrastructure.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Strong proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with MLOps tools (MLflow, Kubeflow) and real-time data processing.
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).