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Machine Learning Engineer II
2 months ago
About the Role
We are seeking a highly skilled Machine Learning Engineer II to join our team at Expedia Group. As a Machine Learning Engineer II, you will play a key role in harnessing machine learning to power new personalization experiences for travelers.
Key Responsibilities
You will work in a cross-functional team of ML Engineers and ML Scientists to operationalize ML models in production, ensuring seamless integration with our existing systems.
You will design and develop scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation, leveraging cutting-edge technologies such as cloud infrastructure and big data platforms.
You will provide accurate time estimates for your scope of work, turn them into code, and deliver on schedule, ensuring timely completion of projects and meeting business objectives.
You will advocate for quality coding, writing secure, stable, testable, and maintainable code with minimal defects, adhering to industry best practices and our company's coding standards.
Requirements
2+ years of experience in ML and software engineering for Bachelor's, 1+ years for Master's
Developed software in a team environment of at least 5 engineers, with experience in agile methodologies, version control, and collaboration tools.
Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure, with a strong understanding of cloud computing and data storage.
Coding proficiency in at least one modern programming language (Java, Scala, Python, etc.), with a strong background in data structures and algorithms.
Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc.), and big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc.).
Experience working with containerization, deployment, and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc.), and automated testing, including unit, functional, and integration testing.
Excellent organizational and communication skills, with the ability to work effectively in a team environment and communicate complex technical concepts to non-technical stakeholders.
Bachelor's or master's degree in CS or a related field.
