Machine Learning Engineer

This role is for one of the Weekday's clients

Min Experience : 4 years

JobType : full-time

We’re looking for a Machine Learning Engineer who can own ML data, training, and deployment pipelines end-to-end—making them faster, more reliable, and scalable for enterprise use. You won’t just deliver pipelines—you’ll design the architecture, optimize for performance and parallelism, and drive improvements in UX and MLOps across the ML lifecycle.

Requirements

Key Responsibilities

• Scale data & training : Optimize ETL and storage workflows to handle very large datasets (up to ~25M time series).
• End-to-end workflow ownership : Manage ingestion, feature engineering, training, evaluation, deployment, and monitoring.
• Enhance parallelism & reliability : Build distributed compute solutions that minimize latency and reduce job failure rates.
• Strengthen MLOps : Develop CI / CD pipelines for models and data; ensure robust experiment tracking, observability, and reproducibility.
• Product collaboration : Work closely with design and product teams to make complex ML tasks simple within a no- / low-code environment.