Senior Data Engineer (AI/ML)
OpenTable (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 22–38 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and build scalable AI/LLM data pipelines and production-grade retrieval augmented generation (RAG) systems including embedding, indexing, and semantic search.
- Develop and optimize data engineering platforms and pipelines using Databricks, Apache Spark, Snowflake, Delta Lake, and Airflow for batch and streaming workloads.
- Collaborate with ML, data science, and product teams to productionize AI capabilities focusing on reliability, observability, and cost optimization.
Minimum Requirements
- 5+ years of experience in data engineering, software engineering, or distributed systems.
- Strong programming skills in Python and/or Scala/Java and advanced SQL.
- Hands-on experience with Databricks, Snowflake, Apache Spark, Delta Lake, Airflow, and cloud data platforms.
- Practical experience building applications using Large Language Models (LLMs) or Generative AI.
Ideal Candidate Profile
- Experienced in building scalable, reliable, and observable production data and AI systems incorporating LLM-related technologies like RAG, embeddings, vector search, and AI agents.
- Skilled in complex distributed systems and data orchestration for batch and streaming AI/ML workloads with a strong understanding of evaluation and monitoring for AI quality and performance.
- Able to work cross-functionally with engineering and product teams to move AI prototypes to scalable production deployments in a primarily remote and global team setting.