Senior Software Engineer - MLOps (Contract)
Truveta
Contract PositionSummary
This job is for a Senior Software Engineer in MLOps on a contract basis. The role involves working with a talented team to build a leading platform for medical research using machine learning algorithms on a large clinical data set. The engineer will collaborate with the AI research team, design ML infrastructure, optimize performance, and work with complex data types.
What you'll do
- Partner closely with the AI Research team in understanding the requirements of model training and model hosting in secured, private environments
- Create ML infrastructure building blocks that work on top of the base cloud foundation comprising Kubernetes, microservices, Blob storage, Data Lake services, caching, network links
- Design access-controlled containerized environments for hosting models and interfacing with the data sources and destinations with telemetry
- Provision the right resources for the ML tasks – including GPU-assisted nodes
- Optimize execution performance of critical ML components to reduce memory and CPU consumption and increase throughput
Requirements
- 6+ years of software development experience with at least 2 years focused on developing data processing pipelines, ML, and experimentation
- 2+ years cloud native experience, AWS/Azure/GCP/OCI; knowledge of containerization and Kubernetes strongly preferred
- Expert in Python
- Expert in ML workflow and challenges, including model creation, management, deployment, measurement, and experimentation
- Experience with cloud-native ML approaches. Experience using AWS SageMaker, AzureML, Kubeflow, MLflow strongly preferred
Apply
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Location
Seattle, WAContract Length
Until March 29, 2023.Compensation
$73 - $90 (per hour)Keywords
kubernetes microservices blob storage data lake services caching network links gpu-assisted nodes aws azure gcp oci python aws sagemaker azureml kubeflow mlflowSimilar Jobs
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