ML Data Engineer: Pipelines, NLP & Vector DBs

Azura Labs Official; Jakarta Utara; On-site; IDR 180,000,000 - 320,000,000; Full time

Job summary

Azura Labs Official is seeking a senior data professional to drive data engineering, data science, and ML initiatives. You will work with Python-based tools (FastAPI, Pydantic, Pandas, Scikit-learn, PySpark) and engage with vector databases and modern data warehousing concepts.

Role involves building ETL/ELT pipelines, NLP tasks with Hugging Face and BERT-family models, and collaborating with cross-functional teams to ensure data quality and actionable insights.

Qualifications

• 3+ years in data engineering or related fields.
• Python expertise with FastAPI, Pydantic, Pandas, Scikit-learn, PySpark.
• Relational DBs: PostgreSQL, Snowflake, BigQuery.
• Vector databases: Pinecone, Milvus, Weaviate, or pgvector.
• Data warehousing concepts: star/snowflake schemas.
• NLP with Hugging Face, BERT, intents.
• ETL/ELT pipelines with Python and Airflow.
• Data processing, transformation, and optimization.
• Strong problem-solving and data quality focus.
• Clear communication with cross-functional teams.

Skills

Data engineering

Data science

ML engineering

Python

Communication

Tools

FastAPI

Pydantic

Pandas

Scikit-learn

PySpark

Job description

Azura Labs Official is seeking a senior data professional to drive data engineering, data science, and ML initiatives. You will work with Python-based tools (FastAPI, Pydantic, Pandas, Scikit-learn, PySpark) and engage with vector databases and modern data warehousing concepts.

Role involves building ETL/ELT pipelines, NLP tasks with Hugging Face and BERT-family models, and collaborating with cross-functional teams to ensure data quality and actionable insights.