Senior Software Engineer - MLOps (Contract)


Contract Position


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


  • 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


Click below to be taken to the Truveta hiring page.


Seattle, WA

Contract Length

Until March 29, 2023.


$73 - $90 (per hour)


kubernetes microservices blob storage data lake services caching network links gpu-assisted nodes aws azure gcp oci python aws sagemaker azureml kubeflow mlflow

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