Job Description
We are seeking a visionary Senior AI Infrastructure Engineer to spearhead our 2026 roadmap. As we prepare to scale our generative AI capabilities to enterprise levels, you will design the foundational architecture that ensures speed, security, and scalability.
Why join us? We are building the future of intelligent automation, and we need a technical leader who isn't just coding for today, but architecting for the standards of 2026.
Responsibilities
- Architect and deploy scalable ML pipelines using Kubernetes and serverless computing.
- Optimize deep learning models for high-throughput inference in production environments.
- Lead the implementation of MLOps best practices to streamline model lifecycle management.
- Collaborate with data scientists to translate research prototypes into robust production services.
- Ensure data privacy and security compliance across all AI workloads.
- Drive technical strategy for our 2026 AI evolution.
Qualifications
- 5+ years of experience in software engineering with a focus on machine learning infrastructure.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Strong proficiency in cloud platforms (AWS/GCP/Azure).
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Excellent problem-solving skills and ability to mentor junior engineers.
- BS or MS in Computer Science, Engineering, or a related field.