Machine Learning Engineer

Key Responsibilities

Write clean, efficient, and well-documented Python code following object-oriented programming principles such as encapsulation, inheritance, polymorphism, and abstraction

Develop and manage the complete machine learning pipeline including data ingestion, preprocessing, model training, evaluation, and deployment

Design, build, and deploy robust, scalable, and high-performance ML applications in production environments

Apply software engineering best practices to create modular, maintainable, and testable ML systems, APIs, and services

Contribute to system architecture and technical design decisions for ML platforms and applications

Build and maintain data pipelines for feature engineering, transformation, and versioning

Implement MLOps practices including CI/CD for ML, automated testing, model versioning, monitoring, and alerting

Monitor model performance and address issues such as drift, bias, and degradation

Identify and resolve performance bottlenecks to ensure system scalability and reliability

Work with large datasets and ensure efficient data handling and processing