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 in systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models.
Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone.
Strong understanding of and experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion.
Understanding of nearest neighbor search concepts.