--- title: 'Senior Data Engineer (AI/ML) at OpenTable' canonical: 'https://feeny.ai/job/senior-data-engineer-ai-ml-opentable-india-v349hra0rh23' type: 'job' last_seen: '2026-09-19' --- # Senior Data Engineer (AI/ML) at OpenTable - **Company:** OpenTable - **Location:** India - **Work type:** remote - **Posted:** 2026-09-18 - **Last confirmed live:** 2026-09-19 - **Apply:** https://job-boards.greenhouse.io/opentable/jobs/8817801002 ## Job description 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 modern 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 - 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. Required Qualifications - 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. ## Preferred Qualifications - Deep experience designing large-scale data platforms, distributed processing systems, and complex data workflows. - Strong experience with real-time and streaming data architectures, including Kafka, Spark Structured Streaming, or similar technologies. - Experience building low-latency data pipelines and event-driven architectures. - Experience designing complex multi-stage ETL/ELT and data orchestration workflows using Airflow or similar platforms. - Experience optimizing Spark/Databricks workloads, including partitioning, clustering, caching, joins, and compute optimization. - Experience building data platforms supporting both batch and real-time AI/ML workloads. - Experience with LLM and AI evaluation frameworks, including automated evaluations, offline/online evaluation, quality metrics, and experimentation. - Experience building evaluation datasets and pipelines for measuring LLM/RAG/agent quality, accuracy, relevance, latency, and cost. - Experience with AI observability and tracing, including token usage, model performance, latency, failures, and production monitoring. - Experience with LangGraph, LangChain, LlamaIndex, or similar AI orchestration frameworks. - Experience with vector databases such as Qdrant, Pinecone, Weaviate, or Databricks Vector Search. - Experience with Kafka, MLflow, Unity Catalog, Databricks Mosaic AI, or model-serving platforms. - Experience building data quality, lineage, governance, and data/AI observability frameworks. - Strong understanding of distributed systems, cloud architecture, APIs, CI/CD, and production operations. Impact You will help build the data and AI foundation for intelligent products, combining large-scale data engineering, streaming systems, and modern Generative AI to deliver reliable, scalable, measurable, and production-ready AI systems. ## Benefits - Work from (almost) anywhere for up to 20 days per year - Focus on mental health and well-being: - Company-paid therapy sessions through SpringHealth - Company-paid subscription to Headspace - Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!) - Paid parental leave - Generous paid vacation + time off for your birthday - Paid volunteer time - Focus on your career growth: - 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 Work Environment & Flexibility At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations. Inclusion We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves. If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations. #LI-Remote #LI-MK1 ## About OpenTable ## Company Overview - **One-liner**: OpenTable is the world’s leading provider of online restaurant reservation and dining technology, connecting diners with over 65,000 restaurants, bars, and wineries worldwide. - **Entity Type**: Public (NASDAQ: BKNG, as part of Booking Holdings Inc.) - **Headquarters**: San Francisco, California, United States - **Founded**: 1998 - **Founders**: Chuck Templeton ## Core Business - **Primary industry/industries**: Hospitality Technology, Restaurant Reservation Software, Online Dining - **Target customers**: B2B (restaurants, bars, wineries of all sizes – from independent to large chains) and B2C (dining consumers) - **Mission or purpose statement**: "We serve restaurants so they can serve the world." Also: "We love what can happen around the restaurant table." ## Products & Services - **OpenTable for Restaurants**: An all-in-one SaaS platform for front-of-house and back-of-house operations, including reservation management, guest management, table management, online ordering, and marketing tools. Integrated with hundreds of technology partners. - **OpenTable for Diners**: A mobile app and website that allows consumers to discover new restaurants via personalized recommendations, curated guides, and data-backed lists, and to book and manage reservations seamlessly. - **OpenTable GuestCenter**: A suite of tools for restaurants to manage guest relationships, loyalty programs, and marketing campaigns. - **OpenTable Payment & POS Integration**: Payment processing solutions tightly integrated with the reservation and management platform. ## Market Standing - **Valuation/Market Cap**: OpenTable is a wholly owned subsidiary of Booking Holdings Inc. (BKNG). Booking Holdings' market cap is not broken out for OpenTable alone, but the parent company is valued at over $100 billion. - **Key Metric**: Annual Revenue is not publicly disclosed as a separate entity. However, OpenTable helps restaurants fill over 1.9 billion seats annually (over 150 million seats per month) and processes an average of 8 reservations every second. - **Notable Investors/Partners**: Part of Booking Holdings Inc. (the world leader in online travel & related services, which also owns Booking.com, KAYAK, Priceline, Agoda, and Rentalcars.com). - **Growth Signals**: OpenTable serves 65,000+ venues worldwide, operates in 36 countries, has a global team of ~1,249 employees (+1.3% YoY), and recently launched its inaugural U.S. Restaurant Ambassador Council (April 2026) to shape strategy and innovation. The company continues to expand its international footprint with offices in the UK, Mexico, Australia, India, Germany, and more. ## Competitive Advantages - **Network Effects**: The largest global network of diners and restaurants creates a powerful two-sided marketplace. More diners attract more restaurants, and vice versa. - **Data Moat**: Over 136 million restaurant reviews and decades of reservation data provide unique insights into dining trends, consumer behavior, and restaurant performance. - **Parent Company Backing**: As part of Booking Holdings, OpenTable has access to immense resources, global reach, and cross-platform synergies (e.g., with KAYAK’s travel portfolio). - **Brand Trust & Longevity**: Operating since 1998, OpenTable is the most recognized and trusted brand in restaurant reservations. ## Strategic Focus - **Global Expansion**: Growing its international presence, particularly in APAC and LATAM, with offices in India, Mexico, and Australia. - **Product Innovation**: Continuously developing new tools for restaurants (e.g., AI-driven recommendations, enhanced operations software) and for diners (personalized discovery, seamless booking). - **Integration & Partnerships**: Deepening integrations with hundreds of tech partners to create a unified restaurant tech stack. - **Community Building**: The new Ambassador Council demonstrates a focus on collaborative innovation with the restaurant industry. ## Why Work Here - **Hybrid & Flexible Work**: OpenTable offers a hybrid work environment with "Work From Almost Anywhere" days, generous holidays, dedicated Recharge Days, and company-wide weeks off. - **Culture & Mission**: Employees work on technology that directly helps small businesses and culinary icons thrive, fostering a sense of purpose and community impact. The culture is described as "relentless hospitality." - **Career Growth**: Opportunities for rapid career development in a global company that is part of the Booking Holdings family. The company has a strong track record of employees moving on to top tech companies (Google, Amazon, Salesforce, Uber). - **Global & Diverse Team**: With 10 offices worldwide and employees from 36 countries, the work environment is international and collaborative. - **Engineering & Product Focus**: Strong emphasis on product design, machine learning, and data engineering, with a tech stack that includes modern tools and frameworks. ## Sources 1. [OpenTable About Us](https://www.opentable.com/about/) 2. [OpenTable Careers](https://www.opentable.com/c/careers/) 3. [OpenTable LinkedIn Company Profile](https://www.linkedin.com/company/opentable) 4. [Built In OpenTable Profile](https://builtin.com/company/opentable) 5. 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