Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
6 years of experience working in AI/ML as a technical sales engineer or in software engineering.
Experience in Python and Machine learning 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, Machine Learning (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.
Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion.
Understanding of nearest neighbor search concepts.