21 Sep
|
OpenTable
|
India
This role is 100% remote across India location
About OpenTable
With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.
Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.
About Role
We are looking for a Senior Data Engineer – AI/ML to help build the data and AI infrastructure powering our next generation of intelligent products and experiences.
This role combines up-to-date data engineering with Generative AI. You will design scalable data platforms and pipelines while building production-grade solutions using LLMs, RAG, embeddings,
vector search, and AI agents. You will work closely with data scientists, ML engineers, software engineers, and product teams to turn AI capabilities into reliable, scalable production systems.
What You'll Do
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Design and build AI/LLM data pipelines supporting training, inference, evaluation, embeddings, and retrieval workloads.
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Build production-grade RAG systems, including ingestion, chunking, embedding generation, indexing, retrieval, reranking, and context construction.
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Develop AI applications using LLMs, structured outputs, function/tool calling, and agentic workflows.
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Build and optimize semantic search and vector retrieval systems.
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Develop frameworks for LLM evaluation, monitoring, tracing, quality measurement, latency, and cost optimization.
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Design scalable batch and streaming pipelines using Databricks, Apache Spark, Delta Lake, Snowflake, and Airflow.
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Build data prod
📌 Senior Data Engineer (India)
🏢 OpenTable
📍 India