DB2 Admin

Machine Learning Technologies, LLC; Woodland (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Woodland, CA is seeking an experienced AI Data Engineer to design scalable data pipelines and infrastructure supporting AI/ML, RAG, and LLM applications. The role requires strong SQL, Python/Scala, and cloud data platforms, plus experience with embedding pipelines and vector databases.

You will work on structured and unstructured data processing, data quality, governance, and access controls, while supporting ML training and MLOps workflows.

Qualifications

• Strong SQL and Python/Scala.
• Cloud Data Platforms.
• Apache Airflow / dbt.
• AI/ML Data Engineering.
• RAG, Vector Databases, Embeddings, and Vector Search.
• Unstructured Data Processing.
• ML Lifecycle Knowledge.

Responsibilities

• Design and develop data ingestion, transformation, and processing pipelines.
• Build embedding pipelines and integrate vector databases.
• Develop data pipelines supporting RAG, chunking, and vector search.
• Process structured and unstructured data (PDFs, documents, logs, transcripts).
• Implement data quality, governance, lineage, and access controls.
• Support ML model training, inference, MLOps, and LLMOps workflows.
• Optimize data pipelines for performance, scalability, and cost.

Skills

SQL

Python/Scala

Cloud Data Platforms

AI/ML Data Engineering

RAG & vector search

Unstructured data processing

ML lifecycle knowledge

Tools

Apache Airflow

dbt

Job description

Job Description

Seeking an experienced AI Data Engineer to build and maintain scalable data pipelines and infrastructure supporting AI/ML, RAG, and LLM applications. The candidate should have strong SQL, Python/Scala, cloud data platforms, and experience processing structured and unstructured data.

Key Responsibilities

• Design and develop data ingestion, transformation, and processing pipelines.
• Build embedding pipelines and integrate vector databases.
• Develop data pipelines supporting RAG, chunking, and vector search.
• Process structured and unstructured data (PDFs, documents, logs, transcripts).
• Implement data quality, governance, lineage, and access controls.
• Support ML model training, inference, MLOps, and LLMOps workflows.
• Optimize data pipelines for performance, scalability, and cost.

Mandatory Skills

• Strong SQL and Python/Scala.
• Cloud Data Platforms.
• Apache Airflow / dbt.
• AI/ML Data Engineering.
• RAG, Vector Databases, Embeddings, and Vector Search.
• Unstructured Data Processing.
• ML Lifecycle Knowledge.

Nice to Have

• Snowflake Cortex / Cortex Search.
• Financial Services / Regulated Industry Experience.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.