AWS SageMaker Jobs
AWS SageMaker is an Amazon Web Services product designed to make machine learning services easier and more effective. With this, AWS SageMaker Simplifies complex development and maintenance steps while making it easier to create machine learning-based applications such as Dynamics Learning, Text Categorization, Content Recommendations, Natural Language Processing and more. AWS SageMaker Specialists allows businesses to build, train and deploy models in cloud environments securely and quickly. By providing an interface with insights into the model development process, AWS SageMaker Specialists are able to help businesses develop the best models for their needs that are custom fit for their data.
Here's some projects that our expert AWS SageMaker Specialist made real:
- Building accurate AI models from complex datasets
- Implementing Auto ML solutions for feature engineering, optimization and deployment
- Training machines with deep learning networks to draw powerful insights from large data
- Creating next generation text analytics systems from unstructured data
- Developing cloud based solutions with serverless computing technology such as Amazon Sagemaker
At Freelancer.com you can find the top developers, who have deep knowledge in AWS SageMaker, in order to create powerful solutions utilizing the latest technologies suitable for your business needs. Hire a freelancer today online and get the right solutions on time and budget.
As demonstrated by these examples of completed projects on Freelancer.com, businesses can hire expert AWS SageMaker Specialists who provide quick solutions using cutting edge technology such as serverless computing. Get started today by posting your own project and hire an AWS SageMaker Specialist on Freelancer.com - they're reliable, affordable and can help you unlock the potential of your valuable data to stay ahead of the competition all without consuming resources required for in-house development!
Von 449 Bewertungen, bewerten Kunden unsere AWS SageMaker Specialists 4.67 von 5 Sternen.AWS SageMaker Specialists anheuern
I'm looking for a skilled DevOps Engineer experienced in AWS to help design a robust architecture for my Spark and Sagemaker Machine Learning models. Key Requirements: - **AWS Services**: Your primary focus will be on utilizing Amazon S3 and Amazon Sagemaker effectively within the architecture. - **Programming Languages**: Familiarity with both Python and R is important, given that my models are built in those languages. - **Model Operations**: Your design should focus on enabling batch predictions and facilitate model training and retraining for the Machine Learning models. Ideal Skills: - Experience with Amazon S3 and Amazon Sagemaker are a must. - Proficiency in Python and R for fine-tuning or troubleshooting the models. - Familiarity with designing architectures for batch predic...
As a client, I'm on the hunt for a professional Cloud Engineer who excels in AWS Sagemaker and RStudio. Responsibilities: - Primarily, your responsibility will rest on deploying a R project to AWS. Skills and Experience: - A concrete understanding of data preprocessing and model training is necessary, although the principal task is model deployment. - Sound comprehension of deploying a model that utilizes clustering, in the realm of unsupervised learning, will be advantageous. - Prior experience with AWS Sagemaker and RStudio is of the essence. The perfect candidate will be well versed in the advanced use of AWS Sagemaker and RStudio to successfully deploy a supervised learning model.
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