Will accept any level of experience in the following skills: Design scalable machine learning architectures for search, information retrieval, and relevance using Python, traditional and deep learning methods, Apache Solr, and vector search frameworks such as FAISS; Develop natural language processing applications for query understanding, classification, and search relevance using natural language processing algorithms, techniques, and tools such as FastText, Transformers, and NLTK; Develop and implement machine learning models for search ranking and category prediction using query, clickstream, and product catalog data; Design and implement feature engineering pipelines using clickstream, product catalog, and customer behavioral data with SQL, Python, and Apache Spark to support machine learning models; Design and implement personalized typeahead and autocomplete systems using clickstream, search interaction, and behavioral data to generate real time query suggestions and improve search relevance; Implement and operationalize machine learning systems for search retrieval, ranking, and relevance, including model training, low latency inference, deployment using FastAPI or Flask with Docker and Kubernetes, and monitoring on premises and cloud based platforms. Grainger, Inc. is seeking a Manager, Applied Machine Learning in Lake Forest, IL with the following requirements: Bachelors degree in Data Science, Computer Science, Engineering or related field plus 5 years of related experience.