AI/ML Database Engineer

We are seeking a skilled AI/ML  Database Engineer residing in Texas with 5 or more years' experience to design, build, and maintain scalable data systems that support analytics, applications, and emerging AI/ML use cases. This is a hybrid role (work onsite at least 1 day a week) requiring strong expertise in data modeling, data pipelines, and modern database technologies across cloud environments. The ideal candidate combines solid computer science fundamentals with hands-on experience in both traditional and next-generation data platforms.

Responsibilities

•             Design and implement data models and database architectures to support business and technical requirements

•             Develop, optimize, and maintain ETL processes and data pipelines for reliable data ingestion and transformation

•             Work with structured and unstructured data across multiple storage technologies

•             Implement and manage SQL and NoSQL databases for performance, scalability, and reliability

•             Write clean, efficient Python code for data processing, automation, and integration

•             Deploy and manage vector databases to support AI/ML and semantic search use cases

•             Collaborate with data scientists, engineers, and application teams to enable data-driven solutions

•             Ensure data quality, security, and governance best practices

•             Monitor and troubleshoot database performance and reliability issues

Required

•             Strong knowledge of data modeling and database design principles

•             Experience building and maintaining ETL and data pipeline solutions

•             Solid understanding of data structures (trees, graphs, hash tables, etc.)

•             Hands-on experience with SQL and NoSQL databases

•             Proficiency in Python for data engineering tasks

•             Experience with vector databases (e.g., Pinecone, Weaviate, Chroma)

•             Familiarity with at least one major cloud platform (GCP, AWS, or Azure)

•             Strong problem-solving and analytical skills

•             Good communication and collaboration abilities

Preferred

•             Experience supporting AI/ML or GenAI workloads

•             Knowledge of data governance and data security frameworks

•             Experience with big data technologies or distributed systems

•             DevOps/DataOps experience (CI/CD, containerization, orchestration)