Job Description
We are pioneering the future of computing with our revolutionary Project 2026 initiative. As a Senior AI Infrastructure Engineer, you will be at the forefront of designing scalable, high-performance systems that define the technological landscape of the coming decade. Join a team of visionaries dedicated to solving complex problems in artificial intelligence and distributed systems.
What You Will Do:
You will architect and deploy robust machine learning pipelines, optimize deep learning models for massive scale, and lead the technical strategy for our core infrastructure. This is a high-impact role requiring a blend of deep technical expertise and strategic thinking.
Responsibilities
- Design and implement scalable machine learning pipelines using cloud-native technologies.
- Optimize deep learning models for production environments, focusing on latency and throughput.
- Lead architectural decisions for distributed systems and high-availability infrastructure.
- Collaborate with data scientists and product managers to translate business needs into technical solutions.
- Establish best practices for CI/CD, monitoring, and observability in AI workflows.
- Ensure data security, privacy, and compliance with industry standards.
Qualifications
- PhD or Master’s degree in Computer Science, Engineering, or a related quantitative field.
- Extensive experience with Python, TensorFlow, PyTorch, or similar ML frameworks.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
- Deep understanding of distributed systems, system design, and scalability principles.
- Experience with big data technologies (Spark, Hadoop) and SQL databases.
- Excellent communication skills and a track record of mentoring junior engineers.