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Key job responsibilities
A day in the life
In this deeply technical and consultative role, you will provide strategic people, process and technology guidance to ensure enterprise support customers realise the benefits of AIML and Generative AI, whilst embedding operational excellence from day 1. You will partner with TAMs, SAs and service teams to provide customers with AWS AIML best practice guidance, diving deep into AIML services, promoting customers AIML workloads to production, developing regional AIML strategies, and training field teams on the use cases and benefits of generative AI.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- Internal enterprise experience working with a wide range of internal stakeholders on AIML implementations or migration with company-wide impact
- Experience with predictive analytics, semi and unstructured data
- Experience with AWS AIML services
- Ability to understand complex cloud AIML environments and bridge the gap between technical and business requirements
- Track record of implementing production AIML solutions for enterprise companies or large internet scale start-ups
- Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.
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