Senior Machine Learning Engineer

You won’t just build models—you’ll own how intelligence shows up in real products. This role sits at the intersection of data, engineering, and decision-making, where models aren’t experiments—they’re expected to perform, scale, and deliver measurable impact.
Key Responsibilities
Design, develop, and deploy scalable machine learning models across production environments
Translate ambiguous business problems into structured ML solutions with clear success metrics
Own end-to-end ML pipelines—from data ingestion and feature engineering to model deployment and monitoring
Work closely with data engineers to ensure high-quality, reliable data pipelines
Optimize models for performance, latency, and cost in real-world environments
Continuously evaluate model performance and retrain pipelines based on drift or evolving data
Collaborate with product and business teams to align ML outputs with decision-making needs
Mentor junior engineers and bring engineering disciplin...

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