About the role
Build and evolve ML infrastructure for large-scale datasets and model training.
- •Join our Research Services team to build the infrastructure that powers machine learning across Flawless.
- •Key Responsibilities Build and evolve data platforms for large-scale multimodal datasets.
- •Optimize infrastructure for large-scale model training.
- •Develop systems for collecting, storing, and analyzing model outputs.
- •Design and maintain infrastructure for model versioning and deployment.
- •Support the promotion of models from research through production.
- •Requirements Experience with large-scale data systems and machine learning.
- •Proficiency in Python and machine learning frameworks.
- •Knowledge of cloud services and containerization.
- •Strong problem-solving and communication skills.
Tech stack
PythonAWSGoogle CloudAzureDockerKubernetesTensorFlowPyTorchscikit-learnMLflowKubeflowSageMakerVertex AI
Match insights
Tech:Python, AWS, Google Cloud, Azure, Docker
Level:Lead