2025 - Huawei Petal Ads - Ads Recommendation Machine Learning Engineer - Contractor
1 week ago
OverviewJoin to apply for the**** - Huawei Petal Ads - Ads Recommendation Machine Learning Engineer - Contractorrole atHuawei Ireland Research Center.This role is part of Huawei Petal Ads, focused on building scalable data and ML infrastructure for recommendation and advertising systems.You will work with data scientists and domain experts to operationalize advanced ML models, ensure data preparation, feature engineering, training pipelines, and production deployment.This role is ideal for engineers passionate about applying machine learning at scale, optimizing model performance, and enabling rapid experimentation in one of the world's largest advertising ecosystems.ResponsibilitiesCollaborate with data scientists to productionize ML models for recommender systems and computational advertising.Design, implement, and maintain scalable ML pipelines for data ingestion, preprocessing, feature engineering, training, and serving.Build and optimize feature stores, ensuring efficient access to large-scale structured, unstructured, and multi-modal data.Deploy and monitor models in production, ensuring high reliability, low latency, and real-time serving capabilities.Develop tools for A/B testing, experiment tracking, and automated evaluation of recommendation models.Optimize ML workflows for cost-efficiency and scalability across distributed systems (e.g., Spark, Flink, TensorFlow Serving, TorchServe).Collaborate with product managers, engineers, and data scientists to translate research innovations into business-impacting production solutions.Ensure best practices for reproducibility, testing, and monitoring of ML models.RequirementsMaster's degree (or Bachelor's with strong experience) in Computer Science, Software Engineering, or a related field.2+ years of experience in machine learning engineering, MLOps, or data engineering.Strong programming skills in Python and familiarity with Java is a plus.Experience with ML frameworks and libraries (PyTorch, TensorFlow, XGBoost, LightGBM, etc.).Solid knowledge of distributed data processing systems (Spark, Flink, Hadoop) and query languages (SQL/HiveQL).Hands-on experience with ML pipeline orchestration tools (e.g., Airflow, Kubeflow, MLflow).Experience with containerization and deployment platforms (Docker, Kubernetes, TensorFlow Serving, TorchServe).Familiarity with experiment design, A/B testing, and model monitoring in production.Good communication and collaboration skills to work in cross-functional teams.Preferred QualificationsPrior experience in recommender systems, computational advertising, or large-scale ML platforms.Knowledge of real-time streaming data systems (Kafka, Pulsar).Understanding of model explainability, fairness, and monitoring in production ML systems.Contributions to open-source ML tools or large-scale ML projects.NotesCheck out Life at Huawei Ireland Research Centre:ONLY CANDIDATES WHO MAY LIVE AND WORK IN IRELAND WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION.DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED.Privacy StatementPlease read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received.#J-*****-Ljbffr
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