Posted:22 hours ago|
Platform:
On-site
Full Time
As an ML Engineering Specialist you will be owning responsibility to operationalize ML models NLP Computer Vision and other type of models
End to End model lifecycle management starting from feature extraction to monitor machine learning models using high end tools and technologies
Design implementation of DevOps principles in Machine Learning
Model quality assurance governance and monitoring
Integrate models as part of business applications via APIs
Execute best practices in version control and continuous integration delivery
Collaborate with data scientists engineers and other key stakeholders
Work well in a fast-paced cross functional environment
Experience in implementing machine learning life cycle on Azure ML and Azure Databricks along with other Azure services such as Azure DevOps Azure functions etc
Experience with Machine learning frameworks libraries and agile environments
Experience implementing Azure Cognitive services in business applications
Experience with various model deployment strategies
Experience with Python and SQL must understand of distributed frameworks such as Spark Dask Ray etc is a plus
Experience with version control tools such as Git Bitbucket etc
Knowledge on Docker Jenkins Kubernetes and other DevOps tools
Knowledge on Infra as a Code via ARM or Terraform templates
Familiarity with Large Language Models and Operationalization of foundation models on cloud platforms will be a plus
Outstanding analytical and problem-solving skills.
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