• Design, build, automate, deploy and maintain machine learning production pipelines, utilizing cloud technologies such as cloud AI / Sagemaker
• Deploy and monitor models in production %28e.g. building artifacts, measuring model drift, etc.%29.
• Implement and evaluate recommender engine using NLP and deep-learning techniques, to work in a production environment and run at massive scale.
• Apply complex analytical techniques to derive actionable insights.
• Design and execute technical processes needed for experimentation to support an array of business problems, including experiment ideation, experimental design, monitoring, data analysis, code review and communication of results.
• Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields including recommendations, NLP, and information retrieval
• Role Key Deliverables: Own current recommendation engine modeling stack, research and deploy incremental improvements.
• MSc in Computer Science/Statistics/Engineering or related field with a focus on applied statistics, AI, machine learning, or related fields
• 5+ years applying machine learning to real-world problems in an industrial setting.
• Strong engineering and coding skills, with ability to write high performance production code. Ability to lead, envision and implement improvements of our ML solution and pipelines
• Proficiency in Python, Java, Scala, and/or other equivalent languages.
• Hands-on experience in Machine learning frameworks such as TensorFlow, Scikit-learn, Spark, pytorch, MLib, Pandas, Numpy etc.
• Strong understanding of evaluation methods for recommender systems and ability to run offline and online using experimental design
• Preferred proficiency with data pipelines in Hadoop/Spark in a cloud environment
• Ability to write and execute complex queries in SQL against different database architectures
• Working knowledge of agile development processes and methodologies
• Strong analytical & problem-solving skills, and excellent communication skills