Machine Learning Engineer (Data & Model Validation) - Remote position

Job Description

We are looking for an ML Engineer focused on Data and Model Validation to ensure the correctness, reliability, and production readiness of machine learning systems. This role owns data quality, model evaluation, drift detection, and release validation for ML pipelines deployed at scale.

This is not a traditional QA role — it is an engineering role with ownership of ML quality.

Experience - 2+ years

Key Responsibilities

·      Own data validation and quality checks for ML pipelines (training & inference)

·      Define and implement baseline expectations on datasets and features

·      Validate ML models using metrics such as F1, precision, recall, AUC

·      Perform regression testing across model retraining cycles

·      Detect and respond to data drift, feature drift, and prediction drift

·      Implement automated quali...