Machine Learning Engineer
22 hours ago
Roles and Responsibilities:
· 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
Mandatory Skills Requirements
· 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.
Skills
Mandatory Skills :
MLops, Data Science, Computer Vision, Cloud
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