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Senior Machine Learning Operations Engineer 76002
6 days ago
- Rapidly developand deploy productionready ML models with a focus on scalabilityand monitoring across a broad range of applications withinhealthcare.
- Write efficient maintainable andscalable Python code tailored to our specific businessneeds.
- Build highperformance multitenantdeployment architectures and sophisticated model monitoringsystems.
- Directly engage with internalstakeholders to incorporate feedback and refine our MLdrivenproducts through quick iteration cycles.
- Uphold stringent security protocols and processes in the deploymentand maintenance of machine learning models.
- Drive the continuous advancement of MLOps practices within thehealthcare industry by developing innovative solutions andadvocating for bestpractices.
- Requirements:
- Minimum 3 years of experience with transformerbased models and NLPpreferably in a healthcare context.
- Strongtrack record of finetuning running largescale training jobs andmanaging model servers like vLLM TGI orTorchServe.
- Proficiency in data science toolssuch as Pandas Notebooks Numpy Scipy.
- Experience with both relational and nonrelationaldatabases.
- Extensive experience withTensorFlow or PyTorch and familiarity withHuggingFace.
- Knowledge of model analysis andexperimentation frameworks such as MLFlowW&B
- and tfma ispreferred.
- Comfortable with a Linuxenvironment and stringent data securitypractices.
- Must pass a rigorous vettingprocess including extensive background checksto
- ensure the highest standards of datasecurity andintegrity.
pytorch,linuxenvironment,nlp,python,healthcare,mlops,data security,machinelearning,data sciencetools,scalability,huggingface,learning,transformer-basedmodels,monitoring,operations,tensorflow
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