Related tasks:

• Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization
• Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia
• Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototyped

• Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships
• Experience in data mining modeling processes; ability to accurately determine cause-and-effect relationships
• Understanding of machine-learning and operations research
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude