Senior Machine Learning Engineer

EPAM Systems Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Overview

Join EPAM Malaysia as a Senior Machine Learning Engineer and lead the charge in creating cutting-edge AI solutions that solve complex, real-world problems. You’ll design and deploy scalable ML pipelines using tools like TensorFlow, PyTorch, Databricks and Snowflake, while harnessing the power of AWS, Azure, or GCP cloud platforms.

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Responsibilities

• Transition machine learning algorithms into production environments and integrate them with enterprise ecosystems, IoT devices and mobile platforms
• Design, build, and optimize the end-to-end ML lifecycle, including data preparation, feature extraction, model optimization, performance monitoring and testing strategies such as A / B, Canary, or Blue-Green testing
• Develop frameworks to enable data scientists to create production-grade ML models faster and more effectively
• Collaborate with data scientists and engineers to enhance the performance and scalability of ML pipelines
• Establish and maintain CI / CD / CT processes for ML systems while ensuring continuous training of models and early drift detection (e.g., data, concept, schema)
• Promote and implement MLOps best practices to ensure scalability, reliability, and maintainability of ML models
• Continuously identify and address technical risks, gaps and debt in ML systems while seeking opportunities for improvement with new tools and techniques
• Create comprehensive specifications, documentation and user guides for developed solutions to ensure seamless collaboration and deployment

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