Gauss Labs is looking for a passionate and talented AI Engineer to develop cutting-edge Industrial AI solutions. As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions.
Requirements
- Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines.
- Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment.
- Own the end-to-end implementation of ML systems from research prototypes to production-grade code.
- Optimize model training/inference, latency, and resource usage to meet performance and system constraints.
- Develop monitoring, observability, and CI/CD tooling to support the full ML lifecycle in staging and production environments.
- Ensure engineering best practices in code quality, testing, documentation, and software reliability.
- Interface with product and engineering teams to understand requirements and drive integration of AI systems into user-facing applications.
Benefits
- Designing scalable, efficient ML pipelines
- Building and maintaining reliable, performant infrastructure for data processing, model training, evaluation, and deployment
- Developing monitoring, observability, and CI/CD tooling to support the full ML lifecycle in staging and production environments
- Ensuring engineering best practices in code quality, testing, documentation, and software reliability
- Interfacing with product and engineering teams to understand requirements and drive integration of AI systems into user-facing applications