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

Proven experience in designing, implementing, or consulting on Machine Learning, AI, and Deep Learning solutions.
At least 1 year of experience with one or more deep learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch, or Theano.
5+ years of professional software development experience in languages commonly used for ML, such as Python or R. Experience working with RESTful APIs and service-oriented architectures.
3+ years of experience in technical architecture, design, deployment, and operations for AI platforms, standards, protocols, and devices.

Health and dental insurance;
Meal and food allowance;
Childcare assistance;
Extended parental leave;
Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
Profit Sharing (PLR);
Life insurance;
Continuous learning platform (CI&T University);
Discount club;
Free online platform dedicated to promoting physical and mental health and wellbeing;
Pregnancy and responsible parenting course;
Partnerships with online course platforms;
Language learning platform;
And many others

Senior AI/ML Specialist, Solutions Architect

Key skills