Machine Learning Engineer

Role Description

A Machine Learning Engineer designs, builds, and deploys machine learning models and scalable data-driven solutions. This role works closely with data scientists, software engineers, and product teams to develop algorithms, optimize model performance, automate workflows, and integrate models into production systems. Responsibilities often include data preprocessing, feature engineering, experimentation, model training, evaluation, and monitoring.

Key Responsibilities

• Develop, train, and optimize machine learning models for production use
• Perform data cleaning, preprocessing, and feature engineering
• Build scalable ML pipelines and automate model workflows
• Deploy models into production environments using API or cloud platforms
• Monitor model performance and retrain models as needed
• Collaborate with cross-functional teams to understand business requirements
• Conduct experiments to compare alg...