Responsibilities
Assist Lead Data Scientist in building and maintaining end-to-end ML pipelines.
Deploy machine learning models into production environments.
Automate model training, testing, validation, and deployment workflows.
Monitor model performance, data drift, and system reliability.
Manage model versioning, experiment tracking, and reproducibility.
Ensure scalability, security, and compliance with ML infrastructure.
Troubleshoot production issues across data, models, and infrastructure.
Requirements
A master’s degree or PhD in Statistics, Machine Learning, Mathematics, Computer…