👉 MLS Engineering, or Machine Learning System Engineering, is a specialized discipline that focuses on the design, development, deployment, and maintenance of machine learning systems within complex software architectures. It bridges the gap between traditional software engineering and machine learning, ensuring that ML models are integrated effectively into larger systems, addressing challenges such as model performance, scalability, interpretability, and robustness. MLS Engineers work on creating scalable pipelines for data ingestion, model training, validation, and deployment, while also ensuring that these systems comply with regulatory standards and maintain high levels of reliability and security. They collaborate closely with data scientists, software architects, and DevOps teams to ensure seamless integration and continuous improvement of ML components within enterprise environments.
