Design and implement scalable, cloud-native ML pipelines for production AI solutions
Collaborate with data scientists to operationalize ML models from prototypes to production
Manage deployment of ML models using Azure Machine Learning and AKS
Required Qualifications
Minimum 5 years of experience as a Data Scientist, with at least 2 years focused on machine learning engineering in cloud environments
Proven experience deploying ML models in Azure, preferably with Azure Machine Learning, Docker, and AKS
Hands-on experience building cloud-native pipelines for model training, scoring, and monitoring
Bachelor's degree in Computer Science, Electronic Engineering, Data Science, or a related field
Average salary estimate
$110000
/ YEARLY (est.)
min
max
$90000K
$130000K
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