Services

Hire a dedicated Amazon SageMaker developer to bring your machine learning project to the next level. Our consultants work as part of your existing development team / process or as a stand alone resource, ensuring the highest standards of communication throughout the project.

Our expert machine learning developers / architects can help with:

DEVELOP / BUILD MODELS

• Preparation and Collection of Training Data
• Data Labelling strategy
• Leverage pre-built jupyter notebooks
• Algorithm selection and optimization
• Custom ML algorithm development within Docker containers
• TensorFlow, Apache MXNet, PyTorch, Chainer, Scikit-learn, SparkML, Horovod, Keras & Gluon.
• Reinforcement learning models (TensorFlow / MXNet / Intel Coach, Ray RLlib)

TRAINING

• Train once run anywhere
• Environment set up
• High performing infrastructure training
• Model tuning and optimization

DEPLOYMENT

• AWS Greengrass for deployment to edge devices
• Hardware deployments to devices by Intel, Nvidia, Qualcomm, Cadence, Xilinx, Arm
• Raspberry Pi, Jetson TX2 etc
• Edge device Lambda functions to run SageMaker models
• Model optimization for both cloud and edge devices with SageMaker Neo

USE CASES

• Recommendation Engines
• Computer Vision
• Object Recognition
• Real-time video analysis
• Forecast Predictions - Price, Demand etc
• Image Classification
• BioMedical Image Segmentation
• Fraud Detection Models
• Sporting Match Result Predictions
• Stock Market Predictions
• Real Estate Market Predictions
• Text to Speech
• Hazard Detection

... and much more