MLOps Development
MLOps is the next paradigm of services in an industry where ML is an indispensable technology.
Our MLOps expertise enables you to maximize the value of your ML models by streamlining deployment, monitoring, and maintenance.
The most successful operationalization of ML ensures that models are easily and reliably packaged, deployed, and monitored.
Our deep experience with AI development and the software lifecycle allows us to deliver optimized, high-availability MLOps pipelines that perform well during
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training
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hyper-parameter tuning
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production
Portfolio
DIAGNOSIS AND OPTIMIZATION - Custom Men’s Clothing
We helped our client diagnose their distributed SageMaker training job and identify where their configuration needed adjustment in order to parallelize the data loading.
Technologies: AWS Sagemaker, FSX, PyTorch
PRODUCT DEVELOPMENT - Entertainment
We wanted to implement a multi-cloud application that will use multiple ML techniques to analyze an input image. We deployed a Yolo object detection model to AWS SageMaker and the web application to Azure.
Technologies: AWS, Azure, Django, YOLO
DIAGNOSIS AND OPTIMIZATION - Biotech
We provided our client support on configuring a Kubernetes cluster to allow RStudio to launch jobs using Kubernetes pods, thus enabling horizontal scaling for their statistical computing team.
Technologies: AWS, Kubernetes, EKS, RStudio, NFS