Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
4 years of experience working in AI/ML as a technical sales engineer or in software engineering.
Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Experience in Generative AI as a user or a developer.
Experience delivering technical presentations and leading business value sessions.
Preferred qualifications:
Experience architecting MLOps systems in enterprise environments and building, scaling, and optimizing enterprise-grade Machine Learning systems.
Experience in systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
Experience in full-stack ML engineering to combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models.
Understanding of search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting.
Excellent infrastructure building and maintenance skills on the Google Cloud Platform (GCP) for data engineering pipelines.