[Job-27689] AI Specialist Solutions Architect, London

Working with customers' development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Forecast, Amazon Personalize, and the other AI/ML services. Act as a technical liaison between customers and the AWS SageMaker services team to provide customer driven product improvement feedback.

Do you have experience in Torch?, 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions. 1+ years of experience with one or more Deep Learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch, and Theano. 5+ years professional experience in software development in languages related to ML like Python or R. Experience working with RESTful API and general service-oriented architectures. 3+ years of experience in technical architecture, design, deployment and operations for AI platforms, standards, protocols and devices." Preferred Qualifications: Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.). 5+ years of industry experience in predictive modeling and analysis. Ability to develop experimental and analytical plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships. Consulting experience and track record of helping customers with their AI needs. Publications or presentations in recognized Machine Learning, Deep Learning and Data Mining journals/conferences. Experience with AWS technologies like SageMaker, Redshift, S3, EC2, Data Pipeline, Kinesis & EMR. Knowledge of SparkML. Able to write production level code, which is well-written and explainable. Experience using ML libraries, such as scikit-learn, caret, mlr, mllib. Experience working with GPUs to develop models. Experience handling terabyte size datasets. Track record of finding data to discover hidden patterns. Experience in working with data visualization tools. Knowledge and experience of running SQL. Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format. Experience giving public presentations

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