· Pursuing Masters or equivalent advanced degree from a top tier Technology school
· Record of delivering large analytical solutions with business impact
· Experience on R/SAS/Matlab and SQL
· Excellent Microsoft Office skills, including a strong working knowledge of Excel
· Problem solving ability and passion for big data
· Excellent communication and data presentation skills
· Fluent written and spoken English
Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.
• Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
• Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch.
• Academic Experience with Big Data platforms like Apache Spark and Hadoop.
• Familiarity with data processing with Python, R & SQL.
• Familiarity with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.
