Machine Learning Engineering Lead

Role Description

The Machine Learning Engineering Lead is responsible for leading the design, development, deployment, and scaling of machine learning models and systems. This role bridges data science and engineering, ensuring the models are production‑ready, scalable, and aligned with business objectives. The Lead will manage a team of ML engineers, collaborate with data scientists, and work closely with product and infrastructure teams to deliver end‑to‑end ML solutions.

Key Responsibilities

• Lead the development and deployment of machine learning models into production environments.
• Design scalable ML pipelines, feature engineering workflows, and model serving architectures.
• Collaborate with data scientists to operationalize models and improve performance.
• Establish MLOps best practices (CI/CD for ML, monitoring, retraining pipelines).
• Optimize model performance, latency, and scalability.
• Ensure data qu...