Data Engineer – AI Model Training & Evaluation

About the role

We are looking for a Data Engineer to design, build and maintain data pipelines that support on‑device AI model training and evaluation. The role focuses on preparing high‑quality datasets for conversational AI and astrology applications, and ensuring reliable data flow for edge AI deployments.

Key responsibilities

• Develop and maintain scalable data pipelines for on‑device AI model training and evaluation.
• Collect, clean, label, and version datasets targeting conversational AI and astrology domains.
• Create data quality frameworks tailored to edge AI deployment scenarios.
• Collaborate with machine‑learning engineers on feature engineering and model fine‑tuning.
• Build monitoring and analytics dashboards to provide product data insights.

Required profile

• Strong Python programming skills with experience in data manipulation using Pandas and SQL.
• Familiarity with machine‑learning workflows and data formats used for model training.
• Good understanding of data quality, annotation pipelines, and versioning.
• Ability to work independently and communicate findings clearly.

Required skills

• Python
• Pandas
• SQL