This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.

• Design, develop, train, and optimize machine learning models for real applications or use cases.
• Translate business and product requirements into scalable ML/AI solutions.
• Implement feature engineering, model selection, tuning, and evaluation techniques.
• Develop , and deploy ML models into production environments with high availability and performance.
• Build and maintain ML pipelines (training, validation, deployment, monitoring).
• Monitor model performance, data drift, and model decay; retrain models as needed.
• Ensure models meet reliabil...