Senior Data Engineer – AI/ML

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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OpenTable

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1998

🍽️ Food & Beverage

🏨 Hospitality

📦 Logistics

💰 $36M Series C on 2000-09

Food & Beverage • Hospitality • Logistics

OpenTable is an online restaurant reservation service that allows users to discover and book tables at restaurants across the globe. The platform offers a comprehensive list of dining options in various cities, helping diners explore popular spots and unique dining experiences. OpenTable also partners with restaurants to provide reservation management software that optimizes seating, tracks diner preferences, and offers marketing tools to improve restaurant operations. The service extends its social impact by participating in initiatives such as supporting homelessness projects through diner donations.

📋 Description

• Design and build AI/LLM data pipelines supporting training, inference, evaluation, embeddings, and retrieval workloads • Build production-grade RAG systems, including ingestion, chunking, embedding generation, indexing, retrieval, reranking, and context construction • Develop AI applications using LLMs, structured outputs, function/tool calling, and agentic workflows • Build and optimize semantic search and vector retrieval systems • Develop frameworks for LLM evaluation, monitoring, tracing, quality measurement, latency, and cost optimization • Design scalable batch and streaming pipelines using Databricks, Apache Spark, Delta Lake, Snowflake, and Airflow • Build data products and platforms that make structured and unstructured enterprise data accessible to AI applications • Develop reliable ETL/ELT pipelines and optimize large-scale distributed workloads for performance and cost • Establish data quality, governance, lineage, security, and observability practices • Partner with ML and application engineering teams to move AI prototypes into production-ready systems • Help build the data and AI foundation for intelligent products and production-ready AI systems

🎯 Requirements

• 5+ years of experience in data engineering, software engineering, distributed systems, or a related field • Strong programming skills in Python and/or Scala/Java and advanced SQL • Hands-on experience with Databricks, Snowflake, Apache Spark, Delta Lake, and Airflow • Strong experience with cloud data platforms such as Snowflake and/or Databricks • Practical experience building applications using LLMs or Generative AI • Strong understanding of RAG architectures, embeddings, vector databases, semantic search, and retrieval systems • Familiarity with LLM concepts including prompting, structured outputs, tool calling, and model evaluation • Experience designing scalable, reliable, and observable production data systems

🏖️ Benefits

• Work from (almost) anywhere for up to 20 days per year • Company-paid therapy sessions through SpringHealth • Company-paid subscription to Headspace • Annual company-wide week off a year • Paid parental leave • Generous paid vacation + time off for your birthday • Paid volunteer time • Development Dollars • Leadership development • Access to thousands of on-demand e-learnings • Travel Discounts • Employee Resource Groups • Quarterly team offsites • Tax optimisation options • Generous health insurance • Pension fund