Responsibilities
- Designing and maintaining high-performance, scalable AI/ML infrastructure
- Building and executing ML pipelines efficiently
- Serving models at scale
- Creating tools for continuous monitoring and improvements
- Translating high-value and innovative AI opportunities into deployable and sustainable products
- Acting as AI infrastructure expert in the development of production-ready, scalable ML pipelines and AI-driven solutions
- Collaborating with data scientists, data engineers, architects, and DevOps engineers on the creation and deployment of highly scalable infrastructure and AI-driven solutions
- Continuously expanding knowledge of AI infrastructure, model monitoring/observability and drift detection, functional and business process domain knowledge
- Sharing knowledge to guide others
Requirements
- Combines knowledge of systems and applications, machine learning and artificial intelligence
- Strong foundations in software engineering
- Strong foundations in ML algorithms
- Mastered several AI/ML serving frameworks
- Well-versed in AI/ML techniques, ranging from statistical learning, computer vision to generative AI
