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 with Python and ML frameworks (e.g., TensorFlow, PyTorch), and generative AI as a user or 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.
Strong understanding of search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting.
Experience in full stack ML engineering (frontend: any; backend: Python) 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. Good understanding of nearest neighbor search concepts.
Familiarity with search products like ElasticSearch, Cognitive Search, Glean, etc.