Staff Machine Learning Engineer - Mail Intelligence

Staff Machine Learning Engineer – Mail Intelligence

BS with 10+ years of relevant Industry experience/M.S. in Computer Science with 8+ years of relevant Industry experience. Computer Science graduate ideally with specialization in Data Engineering or Machine Learning
Experience in building cost effective and scalable ML inference infrastructure
Experience with Deep Learning frameworks (Tensorflow/Keras/Spark MLlib)
Experience with machine learning algorithms, NLP, and/or statistical methods
Strong fundamentals: algorithms, distributed computing, data structure, database
Fluency with at least one of: Java/Python/C++
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectations

Provide Technical leadership and mentor junior engineers
Research, architect and develop innovative algorithms for information retrieval, classification, clustering, user personalization, user segmentation and personalized recommendations
You will be responsible for improving information extraction using machine learning and natural language processing techniques
Take end to end ownership of cost effective and scalable Inference systems for various models including state of the art LLMs
Architect and Improve our existing data infrastructures for machine learning and deep learning using your core expertise
Interact with data analysts, data scientists, product managers, and software engineers to understand business problems, technical requirements to deliver E2E engineering solutions
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Maintenance and improvement of released systems

Experience of public cloud especially Google Cloud Platform (GCP) is preferred
Experience in Hadoop technologies (Map/Reduce, Oozie, Pig, Hive, Spark, Kafka, HBase, Storm) is a big plus